diff --git a/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/Constraint.java b/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/Constraint.java
index 1b718a2a..385bb2d6 100644
--- a/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/Constraint.java
+++ b/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/Constraint.java
@@ -54,7 +54,7 @@ public boolean isMatched(DFDVertex vertex) {
 			}
 		};
 		this.mitigations = determineMitigations();
-
+		setPreconditionLabels();
 	}
 
 	public Constraint(List<MitigationStrategy> mitigations) {
@@ -72,18 +72,7 @@ public List<MitigationStrategy> getMitigations() {
 	}
 
 	public boolean isPrecondition(CompositeLabel label) {
-		if (dslConstraint == null) {
-			return preconditionLabel.contains(label);
-		}
-		var translation = new CNFTranslation(dslConstraint);
-		var literals = translation.constructCNF().get(0).literals();
-
-		for (var literal : literals) {
-			if (!literal.positive() && literal.compositeLabel().equals(label)) {
-				return true;
-			}
-		}
-		return false;
+	    return preconditionLabel.contains(label);
 	}
 
 	public void addPrecondition(CompositeLabel label) {
@@ -112,6 +101,12 @@ public void findAlternativeMitigations() {
 	public Set<Node> determineViolations(DFDFlowGraphCollection flowGraph) {
 		return evaluationFunction.evaluate(flowGraph);
 	}
+	
+	private void setPreconditionLabels(){
+        for (var lit : new CNFTranslation(dslConstraint).constructCNF().get(0).literals()) {
+            if (!lit.positive()) preconditionLabel.add(lit.compositeLabel());
+        }
+    }
 
 	private Set<Node> getDSLViolations(DFDFlowGraphCollection flowGraph) {
 		Set<Node> violatingNodes = new HashSet<>();
diff --git a/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/ILPSolver.java b/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/ILPSolver.java
index 6df71fc5..8ec078f6 100644
--- a/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/ILPSolver.java
+++ b/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/ILPSolver.java
@@ -137,27 +137,37 @@ public List<Mitigation> solve(List<List<Mitigation>> mitigations, Set<Mitigation
 
 		MPSolver.ResultStatus status = solver.solve();
 
-		if (status == MPSolver.ResultStatus.OPTIMAL || status == MPSolver.ResultStatus.FEASIBLE) {
-			List<Mitigation> chosen = new ArrayList<>();
-			for (MPVariable variable : solver.variables()) {
-				if (variable.solutionValue() > 0.5) {
-					// skip auxiliary variables introduced by required semantic
-					if (variable.name().startsWith("required_") || variable.name().startsWith("y_")) {
-						continue;
-					}
-
-					Optional<Mitigation> mitigation = allMitigations.stream()
-							.filter(m -> variable.name().equals(m.toString())).findFirst();
-					if (mitigation.isPresent()) {
-						chosen.add(mitigation.get());
-					}
-				}
-			}
-			return chosen;
-		} else {
-			System.out.println("No feasible solution: " + status);
-			return null;
+		try {
+		    if (status == MPSolver.ResultStatus.OPTIMAL || status == MPSolver.ResultStatus.FEASIBLE) {
+	            List<Mitigation> chosen = new ArrayList<>();
+	            for (MPVariable variable : solver.variables()) {
+	                if (variable.solutionValue() > 0.5) {
+	                    // skip auxiliary variables introduced by required semantic
+	                    if (variable.name().startsWith("required_") || variable.name().startsWith("y_")) {
+	                        continue;
+	                    }
+
+	                    Optional<Mitigation> mitigation = allMitigations.stream()
+	                            .filter(m -> variable.name().equals(m.toString())).findFirst();
+	                    if (mitigation.isPresent()) {
+	                        chosen.add(mitigation.get());
+	                    }
+	                }
+	            }
+	            return chosen;
+	        } else {
+	            System.out.println("No feasible solution: " + status);
+	            return null;
+	        }
 		}
+		finally {
+            // Explicitly free the native SCIP instance now rather than waiting for GC.
+            // Without this, the finalizer of a previous MPSolver may run during a later
+            // test's solve() call and corrupt SCIP's global state, causing sync_status_
+            // to reset to MUST_RELOAD even when Solve() returned OPTIMAL.
+            solver.delete();
+        }
+		
 	}
 
 	/***
diff --git a/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/Node.java b/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/Node.java
index 47d9b7f6..4a0e61b2 100644
--- a/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/Node.java
+++ b/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/Node.java
@@ -66,7 +66,7 @@ public List<AbstractVertex<?>> getPrevious() {
 		return previous;
 	}
 
-	public List<Mitigation> getPossibleMitigations() {
+	public List<Mitigation> getPossibleMitigations(boolean restrictedToAdding) {
 		List<Mitigation> mitigations = new ArrayList<>();
 		for (var constraint : violatingConstraints) {
 			for (var mitigation : constraint.getMitigations()) {
@@ -79,41 +79,56 @@ public List<Mitigation> getPossibleMitigations() {
 					mitigations.addAll(getDataMitigations(mitigation, ActionType.Adding));
 				}
 				case DeleteNodeLabel -> {
-					mitigation.checkIfAllowed(vertex);
-					mitigations.add(new Mitigation(new ActionTerm(this.name, mitigation.label, ActionType.Removing),
-							mitigation.cost, getAllRequiredMitigations(mitigation)));
+					if (!restrictedToAdding) {
+						mitigation.checkIfAllowed(vertex);
+						mitigations.add(new Mitigation(new ActionTerm(this.name, mitigation.label, ActionType.Removing),
+								mitigation.cost, getAllRequiredMitigations(mitigation)));
+					}
 				}
 				case DeleteDataLabel -> {
-					mitigations.addAll(getDataMitigations(mitigation, ActionType.Removing));
+					if (!restrictedToAdding) {
+						mitigations.addAll(getDataMitigations(mitigation, ActionType.Removing));
+					}
 				}
 				case AddNode -> {
-					if (this.outgoingFlow == null) {
-						mitigations.add(new Mitigation(new ActionTerm(this.name, mitigation.label, ActionType.AddSink),
-								mitigation.cost, getAllRequiredMitigations(mitigation)));
-					} else {
-						mitigations.add(new Mitigation(
-								new ActionTerm(this.outgoingFlow.getId(), mitigation.label, ActionType.AddNode),
-								mitigation.cost, getAllRequiredMitigations(mitigation)));
-						mitigations.addAll(getNodeAdditionMitigations(mitigation));
+					if (!restrictedToAdding) {
+						if (this.outgoingFlow == null) {
+							mitigations
+									.add(new Mitigation(new ActionTerm(this.name, mitigation.label, ActionType.AddSink),
+											mitigation.cost, getAllRequiredMitigations(mitigation)));
+						} else {
+							mitigations.add(new Mitigation(
+									new ActionTerm(this.outgoingFlow.getId(), mitigation.label, ActionType.AddNode),
+									mitigation.cost, getAllRequiredMitigations(mitigation)));
+							mitigations.addAll(getNodeAdditionMitigations(mitigation));
+						}
+
 					}
 
 				}
 				case AddSink -> {
-					mitigations.add(new Mitigation(new ActionTerm(this.name, mitigation.label, ActionType.AddSink),
-							mitigation.cost, getAllRequiredMitigations(mitigation)));
-					mitigations.addAll(getSinkAdditionMitigations(mitigation));
+					if (!restrictedToAdding) {
+						mitigations.add(new Mitigation(new ActionTerm(this.name, mitigation.label, ActionType.AddSink),
+								mitigation.cost, getAllRequiredMitigations(mitigation)));
+						mitigations.addAll(getSinkAdditionMitigations(mitigation));
+					}
 				}
 				case DeleteNode -> {
-					mitigations.add(new Mitigation(new ActionTerm(this.name, mitigation.label, ActionType.RemoveNode),
-							mitigation.cost, getAllRequiredMitigations(mitigation)));
-				}
-				case DeleteFlow -> {
-					for (var incomingFlow : this.vertex.getPinFlowMap().values()) {
+					if (!restrictedToAdding) {
 						mitigations
-								.add(new Mitigation(new ActionTerm(incomingFlow.getId(), null, ActionType.RemoveFlow),
+								.add(new Mitigation(new ActionTerm(this.name, mitigation.label, ActionType.RemoveNode),
 										mitigation.cost, getAllRequiredMitigations(mitigation)));
 					}
 				}
+				case DeleteFlow -> {
+					if (!restrictedToAdding) {
+						for (var incomingFlow : this.vertex.getPinFlowMap().values()) {
+							mitigations.add(
+									new Mitigation(new ActionTerm(incomingFlow.getId(), null, ActionType.RemoveFlow),
+											mitigation.cost, getAllRequiredMitigations(mitigation)));
+						}
+					}
+				}
 
 				default -> throw new IllegalArgumentException("Unexpected value: " + mitigation.type);
 
@@ -194,8 +209,7 @@ private List<List<Mitigation>> getAllRequiredMitigations(MitigationStrategy miti
 				ActionType type;
 				if (mitgation.type.toString().startsWith("Delete")) {
 					type = ActionType.Removing;
-				}
-				else if (mitgation.type == MitigationType.AddNode) {
+				} else if (mitgation.type == MitigationType.AddNode) {
 					type = ActionType.AddNode;
 				} else if (mitgation.type == MitigationType.AddSink) {
 					type = ActionType.AddSink;
diff --git a/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/OptimizationManager.java b/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/OptimizationManager.java
index 076f9aa6..e322fcad 100644
--- a/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/OptimizationManager.java
+++ b/bundles/dev.arcovia.mitigation.ilp/src/dev/arcovia/mitigation/ilp/OptimizationManager.java
@@ -28,10 +28,11 @@
 
 import dev.arcovia.mitigation.sat.CompositeLabel;
 import dev.arcovia.mitigation.sat.LabelCategory;
+import dev.arcovia.mitigation.sat.MitigationApproach;
 import dev.arcovia.mitigation.sat.NodeLabel;
 import dev.arcovia.mitigation.sat.timeMeasurement;
 
-public class OptimizationManager {
+public class OptimizationManager implements MitigationApproach{
 	private final DataFlowDiagramAndDictionary dfd;
 
 	Map<String, String> outPinToAssignmentMap = new HashMap<>();
@@ -50,6 +51,8 @@ public class OptimizationManager {
 	private List<ActionTerm> actions;
 
 	private List<Mitigation> result;
+	
+	private boolean isRestritedToLabelAddition = false;
 
 	public OptimizationManager(String dfdLocation, List<AnalysisConstraint> constraints) {
 		this.dfd = new Web2DFDConverter().convert(new WebEditorConverterModel(dfdLocation));
@@ -91,7 +94,7 @@ public DataFlowDiagramAndDictionary repair() throws Exception {
 		analyseDFD();
 
 		for (var node : violatingNodes) {
-			addMitigations(node.getPossibleMitigations());
+			addMitigations(node.getPossibleMitigations(isRestritedToLabelAddition));
 		}
 
 		for (var mitigation : allMitigations) {
@@ -99,6 +102,11 @@ public DataFlowDiagramAndDictionary repair() throws Exception {
 				contradictions.addAll(determineContradictions(mitigation));
 			}
 		}
+		
+		//if no violation found return dfd
+        if (mitigations.isEmpty()) {
+            return dfd;
+        }
 
 		var solver = new ILPSolver();
 		result = solver.solve(mitigations, allMitigations, contradictions);
@@ -121,7 +129,7 @@ public DataFlowDiagramAndDictionary repair(timeMeasurement timer) throws Excepti
 		timer.analysis();
 
 		for (var node : violatingNodes) {
-			addMitigations(node.getPossibleMitigations());
+			addMitigations(node.getPossibleMitigations(isRestritedToLabelAddition));
 		}
 
 		for (var mitigation : allMitigations) {
@@ -129,6 +137,13 @@ public DataFlowDiagramAndDictionary repair(timeMeasurement timer) throws Excepti
 				contradictions.addAll(determineContradictions(mitigation));
 			}
 		}
+		
+		//if no violation found return dfd
+        if (mitigations.isEmpty()) {
+        	timer.solving();
+        	timer.stop();
+            return dfd;
+        }
 
 		var solver = new ILPSolver();
 		result = solver.solve(mitigations, allMitigations, contradictions);
@@ -143,7 +158,12 @@ public DataFlowDiagramAndDictionary repair(timeMeasurement timer) throws Excepti
 
 		return dfd;
 	}
-
+	
+	@Override
+	public void restrictToLabelAddition() {
+		isRestritedToLabelAddition = true;
+	}
+	
 	public int getCost() {
 		int cost = 0;
 		for (var mitigation : result) {
@@ -448,12 +468,9 @@ private void addNodes(DataFlowDiagramAndDictionary dfd, List<ActionTerm> actions
 				var flow = dataFlowDiagram.getFlows().stream().filter(f -> f.getId().equals(action.domain()))
 						.findFirst().orElseThrow();
 
-				var node = flow.getSourceNode();
-
 				var name = action.compositeLabels().get(0).label().value();
 
-				var behaviorOld = node.getBehavior();
-
+				
 				var dfdFactory = dataflowdiagramFactory.eINSTANCE;
 
 				var vertex = dfdFactory.createProcess();
@@ -481,8 +498,6 @@ private void addNodes(DataFlowDiagramAndDictionary dfd, List<ActionTerm> actions
 
 				behaviorNew.getInPin().add(inPin);
 
-				Set<Label> allLabels = new HashSet<>();
-
 				var sink = flow.getDestinationNode();
 				var inPinOld = flow.getDestinationPin();
 
@@ -758,7 +773,6 @@ private void removeNodes(DataFlowDiagramAndDictionary dfd, List<ActionTerm> acti
 	}
 
 	private void removeFlows(DataFlowDiagramAndDictionary dfd, List<ActionTerm> actions) {
-		var dd = dfd.dataDictionary();
 		var dataFlowDiagram = dfd.dataFlowDiagram();
 		for (var action : actions) {
 			if (action.type().equals(ActionType.RemoveFlow)) {
diff --git a/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/Mechanic.java b/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/Mechanic.java
index 44400b0f..adb5a4f9 100644
--- a/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/Mechanic.java
+++ b/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/Mechanic.java
@@ -37,7 +37,7 @@
  * constraints and repairing violations found within the DFD. It provides the ability to assess whether a DFD and its
  * constraints are consistent and suggests corrections to resolve violations.
  */
-public class Mechanic {
+public class Mechanic implements MitigationApproach{
     Map<String, String> outPinToAss = new HashMap<>();
 
     private final DataFlowDiagramAndDictionary dfd;
@@ -181,6 +181,12 @@ public DataFlowDiagramAndDictionary repair() throws ContradictionException, Time
         }
 
         var solutions = new Sat().solve(nodes, flows, constraints, dfdName, deactivateSubsumption, allLabels);
+        
+        if(solutions.isEmpty()) {
+        	logger.error("No solution found!");
+        	return dfd;
+        }
+        
         List<Term> flatendNodes = getFlatNodes(nodes);
 
         List<Term> chosenSolution = getChosenSolution(solutions, flatendNodes);
@@ -715,4 +721,9 @@ private org.dataflowanalysis.dfd.datadictionary.Label getOrCreateLabel(DataDicti
         }
         return label;
     }
+
+	@Override
+	public void restrictToLabelAddition() {
+		// already restricted due to design		
+	}
 }
diff --git a/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/MitigationApproach.java b/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/MitigationApproach.java
new file mode 100644
index 00000000..245761cd
--- /dev/null
+++ b/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/MitigationApproach.java
@@ -0,0 +1,9 @@
+package dev.arcovia.mitigation.sat;
+
+import org.dataflowanalysis.converter.dfd2web.DataFlowDiagramAndDictionary;
+
+
+public interface MitigationApproach {
+	DataFlowDiagramAndDictionary repair() throws Exception;
+    void restrictToLabelAddition();
+}
diff --git a/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/Sat.java b/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/Sat.java
index 5ff050f2..95fd7538 100644
--- a/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/Sat.java
+++ b/bundles/dev.arcovia.mitigation.sat/src/dev/arcovia/mitigation/sat/Sat.java
@@ -44,7 +44,8 @@ public class Sat {
     private boolean deactivateSubsumption;
     private Set<Label> allLabels = null;
     
-    private static final boolean SCALINGTEST = false;
+    private static final boolean SCALING_TEST = false;
+    private static final int TERMINATION_THRESHOLD = Integer.MAX_VALUE;
 
     /**
      * Solves a constraint satisfaction problem based on the given nodes, flows, and constraints. The method builds the
@@ -129,8 +130,8 @@ private List<List<Term>> solveClauses() throws TimeoutException, ContradictionEx
             if (!negated.isEmpty() && !deactivateSubsumption)
                 addClause(negated);
 
-            if (solutions.size() > 10000) {
-                if (deactivateSubsumption || SCALINGTEST)
+            if (solutions.size() > TERMINATION_THRESHOLD) {
+                if (deactivateSubsumption || SCALING_TEST)
                     return solutions;
 
                 throw new TimeoutException("Solving needed to be terminated after finding 10.000 solutions");
diff --git a/bundles/dev.arcovia.mitigation.smt/src/dev/arcovia/mitigation/smt/Mechanic.java b/bundles/dev.arcovia.mitigation.smt/src/dev/arcovia/mitigation/smt/Mechanic.java
new file mode 100644
index 00000000..3a37ab47
--- /dev/null
+++ b/bundles/dev.arcovia.mitigation.smt/src/dev/arcovia/mitigation/smt/Mechanic.java
@@ -0,0 +1,43 @@
+package dev.arcovia.mitigation.smt;
+
+import java.util.List;
+
+import org.dataflowanalysis.analysis.dsl.AnalysisConstraint;
+import org.dataflowanalysis.converter.dfd2web.DataFlowDiagramAndDictionary;
+
+import dev.arcovia.mitigation.sat.MitigationApproach;
+import dev.arcovia.mitigation.smt.config.Config;
+import dev.arcovia.mitigation.smt.config.ConfigBuilder;
+import dev.arcovia.mitigation.smt.preprocess.Preprocess;
+import dev.arcovia.mitigation.smt.preprocess.PreprocessingResult;
+
+public class Mechanic implements MitigationApproach {
+
+	private Config config = null;
+	DataFlowDiagramAndDictionary dfd;
+	List<AnalysisConstraint> constraints;
+
+	public Mechanic(DataFlowDiagramAndDictionary dfd, List<AnalysisConstraint> constraints) {
+		this.dfd = dfd;
+		this.constraints = constraints;
+	};
+
+	@Override
+	public DataFlowDiagramAndDictionary repair() throws Exception {
+		if (config == null) {
+			config = new ConfigBuilder().build();
+		}
+		Preprocess preprocces = new Preprocess();
+		PreprocessingResult preprocessingResult = preprocces.preprocess(dfd, constraints, config.onlyViolatingTFGs());
+		SMT smt = new SMT(preprocessingResult, constraints, config);
+		var result = smt.repair();
+		return result.repairedDFD();
+	}
+
+	@Override
+	public void restrictToLabelAddition() {
+		config = new ConfigBuilder().removeDataLabels(false).removeNodeLabels(false).build();
+
+	}
+
+}
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/.classpath b/tests/dev.arcovia.mitigation.evaluation.tests/.classpath
new file mode 100644
index 00000000..675a5e29
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/.classpath
@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<classpath>
+	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-17"/>
+	<classpathentry kind="con" path="org.eclipse.pde.core.requiredPlugins"/>
+	<classpathentry kind="src" path="src">
+		<attributes>
+			<attribute name="test" value="true"/>
+		</attributes>
+	</classpathentry>
+	<classpathentry kind="output" path="bin"/>
+</classpath>
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/.project b/tests/dev.arcovia.mitigation.evaluation.tests/.project
new file mode 100644
index 00000000..1ac66382
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/.project
@@ -0,0 +1,28 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<projectDescription>
+	<name>dev.arcovia.mitigation.evaluation.tests</name>
+	<comment></comment>
+	<projects>
+	</projects>
+	<buildSpec>
+		<buildCommand>
+			<name>org.eclipse.jdt.core.javabuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+		<buildCommand>
+			<name>org.eclipse.pde.ManifestBuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+		<buildCommand>
+			<name>org.eclipse.pde.SchemaBuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+	</buildSpec>
+	<natures>
+		<nature>org.eclipse.pde.PluginNature</nature>
+		<nature>org.eclipse.jdt.core.javanature</nature>
+	</natures>
+</projectDescription>
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/.settings/org.eclipse.jdt.core.prefs b/tests/dev.arcovia.mitigation.evaluation.tests/.settings/org.eclipse.jdt.core.prefs
new file mode 100644
index 00000000..62ef3488
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/.settings/org.eclipse.jdt.core.prefs
@@ -0,0 +1,9 @@
+eclipse.preferences.version=1
+org.eclipse.jdt.core.compiler.codegen.targetPlatform=17
+org.eclipse.jdt.core.compiler.compliance=17
+org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
+org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled
+org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
+org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=warning
+org.eclipse.jdt.core.compiler.release=enabled
+org.eclipse.jdt.core.compiler.source=17
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/META-INF/MANIFEST.MF b/tests/dev.arcovia.mitigation.evaluation.tests/META-INF/MANIFEST.MF
new file mode 100644
index 00000000..2cf6f83e
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/META-INF/MANIFEST.MF
@@ -0,0 +1,21 @@
+Manifest-Version: 1.0
+Bundle-ManifestVersion: 2
+Bundle-Name: Evaluation
+Bundle-SymbolicName: dev.arcovia.mitigation.evaluation.tests
+Bundle-Version: 1.0.0.qualifier
+Import-Package: org.junit.jupiter.api;version="5.8.1",
+ org.junit.jupiter.api.function;version="5.8.1",
+ org.junit.jupiter.params;version="5.8.1",
+ org.junit.jupiter.params.provider;version="5.8.1"
+Require-Bundle: dev.arcovia.mitigation.sat,
+ org.dataflowanalysis.examplemodels,
+ org.dataflowanalysis.dfd.datadictionary;bundle-version="2.0.0",
+ org.dataflowanalysis.dfd.dataflowdiagram;bundle-version="2.0.0",
+ org.dataflowanalysis.analysis,
+ tools.mdsd.library.standalone.initialization,
+ org.dataflowanalysis.converter,
+ org.dataflowanalysis.analysis.dfd,
+ dev.arcovia.mitigation.ilp,
+ dev.arcovia.mitigation.smt
+Automatic-Module-Name: dev.arcovia.mitigation.evaluation.tests
+Bundle-RequiredExecutionEnvironment: JavaSE-17
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/build.properties b/tests/dev.arcovia.mitigation.evaluation.tests/build.properties
new file mode 100644
index 00000000..34d2e4d2
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/build.properties
@@ -0,0 +1,4 @@
+source.. = src/
+output.. = bin/
+bin.includes = META-INF/,\
+               .
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/models/forwardingEdgeCase.json b/tests/dev.arcovia.mitigation.evaluation.tests/models/forwardingEdgeCase.json
new file mode 100644
index 00000000..f562bfeb
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/models/forwardingEdgeCase.json
@@ -0,0 +1 @@
+{"model":{"canvasBounds":{"x":0,"y":0,"width":2560,"height":1307.3333740234375},"scroll":{"x":-17.310928552920572,"y":-56.68306974768142},"zoom":4.072689638702298,"position":{"x":0,"y":0},"size":{"width":-1,"height":-1},"features":{},"type":"graph","id":"root","children":[{"position":{"x":129.5,"y":59},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"dfdNodeLabelRenderer":{"labelTypeRegistry":{"labelTypes":[{"id":"4h3wzk","name":"Sensitivity","values":[{"id":"zzvphn","text":"Personal"},{"id":"veaan9","text":"Public"}]},{"id":"gvia09","name":"Location","values":[{"id":"g10hr","text":"EU"},{"id":"5hnugm","text":"nonEU"}]},{"id":"84rllz","name":"Encryption","values":[{"id":"2r6xe6","text":"Encrypted"}]}],"updateCallbacks":[null,null,null]}},"text":"User","labels":[],"ports":[{"position":{"x":87.5,"y":10.5},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"behavior":"set Sensitivity.Personal","validBehavior":true,"features":{},"id":"rtmoom","type":"port:dfd-output","children":[]}],"hideLabels":false,"minimumWidth":50,"annotations":[],"features":{},"id":"d480fa9","type":"node:input-output","children":[]},{"position":{"x":295.5,"y":57},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"dfdNodeLabelRenderer":{"labelTypeRegistry":{"labelTypes":[{"id":"4h3wzk","name":"Sensitivity","values":[{"id":"zzvphn","text":"Personal"},{"id":"veaan9","text":"Public"}]},{"id":"gvia09","name":"Location","values":[{"id":"g10hr","text":"EU"},{"id":"5hnugm","text":"nonEU"}]},{"id":"84rllz","name":"Encryption","values":[{"id":"2r6xe6","text":"Encrypted"}]}],"updateCallbacks":[null,null,null]}},"text":"ordering","labels":[{"labelTypeId":"gvia09","labelTypeValueId":"5hnugm"}],"ports":[{"position":{"x":-3.5,"y":15.5},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"features":{},"id":"azbkha","type":"port:dfd-input","children":[]},{"position":{"x":66.5,"y":3},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"behavior":"forward user","validBehavior":true,"features":{},"id":"yae7r","type":"port:dfd-output","children":[{"position":{"x":366.9560151218408,"y":63.87607999309034},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"behavior":"","validBehavior":true,"features":{},"id":"5kjguh","type":"port:dfd-output","children":[]}]},{"position":{"x":66.5,"y":13},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"behavior":"forward user","validBehavior":true,"features":{},"id":"4hy0qo","type":"port:dfd-output","children":[]},{"position":{"x":66.5,"y":23},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"behavior":"forward user","validBehavior":true,"features":{},"id":"nr8wb","type":"port:dfd-output","children":[]}],"hideLabels":false,"minimumWidth":50,"annotations":[],"features":{},"id":"b2km","type":"node:function","children":[]},{"position":{"x":466,"y":59},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"dfdNodeLabelRenderer":{"labelTypeRegistry":{"labelTypes":[{"id":"4h3wzk","name":"Sensitivity","values":[{"id":"zzvphn","text":"Personal"},{"id":"veaan9","text":"Public"}]},{"id":"gvia09","name":"Location","values":[{"id":"g10hr","text":"EU"},{"id":"5hnugm","text":"nonEU"}]},{"id":"84rllz","name":"Encryption","values":[{"id":"2r6xe6","text":"Encrypted"}]}],"updateCallbacks":[null,null,null]}},"text":"Database","labels":[{"labelTypeId":"gvia09","labelTypeValueId":"g10hr"}],"ports":[{"position":{"x":-3.5,"y":10.5},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"features":{},"id":"91q37d","type":"port:dfd-input","children":[]}],"hideLabels":false,"minimumWidth":50,"annotations":[],"features":{},"id":"6cb6d8","type":"node:storage","children":[]},{"position":{"x":464.5,"y":109},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"dfdNodeLabelRenderer":{"labelTypeRegistry":{"labelTypes":[{"id":"4h3wzk","name":"Sensitivity","values":[{"id":"zzvphn","text":"Personal"},{"id":"veaan9","text":"Public"}]},{"id":"gvia09","name":"Location","values":[{"id":"g10hr","text":"EU"},{"id":"5hnugm","text":"nonEU"}]},{"id":"84rllz","name":"Encryption","values":[{"id":"2r6xe6","text":"Encrypted"}]}],"updateCallbacks":[null,null,null]}},"text":"Shipping","labels":[{"labelTypeId":"gvia09","labelTypeValueId":"g10hr"}],"ports":[{"position":{"x":-3.5,"y":13},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"features":{},"id":"6m88fp","type":"port:dfd-input","children":[]}],"hideLabels":false,"minimumWidth":50,"annotations":[],"features":{},"id":"0inf7k","type":"node:input-output","children":[]},{"routingPoints":[],"selected":false,"hoverFeedback":false,"opacity":1,"text":"","features":{},"id":"bx9vsg","type":"edge:arrow","sourceId":"4hy0qo","targetId":"91q37d","children":[]},{"routingPoints":[],"selected":false,"hoverFeedback":false,"opacity":1,"text":"","features":{},"id":"y8i4tg","type":"edge:arrow","sourceId":"nr8wb","targetId":"6m88fp","children":[]},{"routingPoints":[],"selected":false,"hoverFeedback":false,"opacity":1,"text":"user","features":{},"id":"qj4178","type":"edge:arrow","sourceId":"rtmoom","targetId":"azbkha","children":[]},{"position":{"x":464.5,"y":4},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"dfdNodeLabelRenderer":{"labelTypeRegistry":{"labelTypes":[{"id":"4h3wzk","name":"Sensitivity","values":[{"id":"zzvphn","text":"Personal"},{"id":"veaan9","text":"Public"}]},{"id":"gvia09","name":"Location","values":[{"id":"g10hr","text":"EU"},{"id":"5hnugm","text":"nonEU"}]},{"id":"84rllz","name":"Encryption","values":[{"id":"2r6xe6","text":"Encrypted"}]}],"updateCallbacks":[null,null,null]}},"text":"Bank","labels":[{"labelTypeId":"gvia09","labelTypeValueId":"5hnugm"}],"ports":[{"position":{"x":-3.5,"y":10.5},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"features":{},"id":"e7ctel","type":"port:dfd-input","children":[]}],"hideLabels":false,"minimumWidth":50,"annotations":[],"features":{},"id":"aakxvh","type":"node:input-output","children":[]},{"routingPoints":[],"selected":false,"hoverFeedback":false,"opacity":1,"text":"","features":{},"id":"3v8vpg","type":"edge:arrow","sourceId":"yae7r","targetId":"e7ctel","children":[]}]},"labelTypes":[{"id":"4h3wzk","name":"Sensitivity","values":[{"id":"zzvphn","text":"Personal"},{"id":"veaan9","text":"Public"}]},{"id":"gvia09","name":"Location","values":[{"id":"g10hr","text":"EU"},{"id":"5hnugm","text":"nonEU"}]},{"id":"84rllz","name":"Encryption","values":[{"id":"2r6xe6","text":"Encrypted"}]}],"constraints":[{"name":"Test","constraint":"data Sensitivity.Personal neverFlows vertex Location.nonEU"}],"mode":"edit","version":1}
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/models/sourceSink.json b/tests/dev.arcovia.mitigation.evaluation.tests/models/sourceSink.json
new file mode 100644
index 00000000..62fd95cb
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/models/sourceSink.json
@@ -0,0 +1 @@
+{"model":{"canvasBounds":{"x":0,"y":0,"width":4288,"height":2189.783447265625},"scroll":{"x":-63,"y":-112.33034620712053},"zoom":7.4315424610052,"position":{"x":0,"y":0},"size":{"width":-1,"height":-1},"features":{},"type":"graph","id":"root","children":[{"position":{"x":0,"y":0},"size":{"width":-1,"height":-1},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"features":{},"id":"nr1cic","type":"empty-node","children":[]},{"position":{"x":12,"y":19},"size":{"width":62,"height":32},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"text":"user","labels":[],"ports":[{"position":{"x":58.5,"y":12.5},"size":{"width":7,"height":7},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"behavior":"set Sensitivity.Personal","validBehavior":true,"features":{},"id":"wksxi8","type":"port:dfd-output","children":[]}],"hideLabels":false,"minimumWidth":50,"annotations":[],"features":{},"id":"7oii5l","type":"node:input-output","children":[]},{"position":{"x":124,"y":14},"size":{"width":72,"height":42},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"text":"db","labels":[{"labelTypeId":"gvia09","labelTypeValueId":"5hnugm"}],"ports":[{"position":{"x":-3.5,"y":17.5},"size":{"width":7,"height":7},"strokeWidth":0,"selected":false,"hoverFeedback":false,"opacity":1,"features":{},"id":"scljwi","type":"port:dfd-input","children":[]}],"hideLabels":false,"minimumWidth":50,"annotations":[],"features":{},"id":"8j2r1g","type":"node:storage","children":[]},{"routingPoints":[],"selected":false,"hoverFeedback":false,"opacity":1,"text":"","features":{},"id":"22iri","type":"edge:arrow","sourceId":"wksxi8","targetId":"scljwi","children":[]}]},"labelTypes":[{"id":"4h3wzk","name":"Sensitivity","values":[{"id":"zzvphn","text":"Personal"},{"id":"veaan9","text":"Public"}]},{"id":"gvia09","name":"Location","values":[{"id":"g10hr","text":"EU"},{"id":"5hnugm","text":"nonEU"}]}],"constraints":[{"name":"","constraint":""}],"mode":"edit","version":1}
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/TestBase.java b/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/TestBase.java
new file mode 100644
index 00000000..d80490f9
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/TestBase.java
@@ -0,0 +1,425 @@
+package dev.arcovia.mitigation.evaluation.tests;
+
+import static java.util.Map.entry;
+import static org.junit.jupiter.api.Assertions.assertEquals;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import java.util.ArrayList;
+import java.util.stream.Stream;
+
+import org.dataflowanalysis.analysis.dfd.DFDDataFlowAnalysisBuilder;
+import org.dataflowanalysis.analysis.dfd.resource.DFDModelResourceProvider;
+import org.dataflowanalysis.analysis.dsl.AnalysisConstraint;
+import org.dataflowanalysis.analysis.dsl.constraint.ConstraintDSL;
+import org.dataflowanalysis.converter.dfd2web.DataFlowDiagramAndDictionary;
+import org.dataflowanalysis.converter.web2dfd.Web2DFDConverter;
+import org.dataflowanalysis.converter.web2dfd.WebEditorConverterModel;
+import org.dataflowanalysis.examplemodels.Activator;
+import org.dataflowanalysis.examplemodels.TuhhModels;
+import org.junit.jupiter.api.Disabled;
+import org.junit.jupiter.api.Test;
+import org.junit.jupiter.params.ParameterizedTest;
+import org.junit.jupiter.params.provider.Arguments;
+import org.junit.jupiter.params.provider.MethodSource;
+
+import dev.arcovia.mitigation.sat.Label;
+import dev.arcovia.mitigation.sat.MeasurementWriter;
+import dev.arcovia.mitigation.sat.MitigationApproach;
+import dev.arcovia.mitigation.sat.ModelCostCalculator;
+import dev.arcovia.mitigation.sat.RunConfig;
+import dev.arcovia.mitigation.sat.dsl.CNFTranslation;
+import dev.arcovia.mitigation.sat.timeMeasurement;
+import dev.arcovia.mitigation.sat.Scaler;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.core.type.TypeReference;
+
+public abstract class TestBase {
+	final AnalysisConstraint entryViaGatewayOnly = new ConstraintDSL().ofData().withLabel("Stereotype", "entrypoint")
+			.withoutLabel("Stereotype", "gateway").neverFlows().toVertex().withCharacteristic("Stereotype", "internal")
+			.create();
+	final AnalysisConstraint nonInternalGateway = new ConstraintDSL().ofData().neverFlows().toVertex()
+			.withCharacteristic("Stereotype", "gateway").withCharacteristic("Stereotype", "internal").create();
+	final AnalysisConstraint authenticatedRequest = new ConstraintDSL().ofData()
+			.withoutLabel("Stereotype", "authenticated_request").neverFlows().toVertex()
+			.withCharacteristic("Stereotype", "internal").create();
+	final AnalysisConstraint transformedEntry = new ConstraintDSL().ofData().withLabel("Stereotype", "entrypoint")
+			.withoutLabel("Stereotype", "transform_identity_representation").neverFlows().toVertex()
+			.withCharacteristic("Stereotype", "internal").create();
+	final AnalysisConstraint tokenValidation = new ConstraintDSL().ofData().withLabel("Stereotype", "entrypoint")
+			.withoutLabel("Stereotype", "token_validation").neverFlows().toVertex()
+			.withCharacteristic("Stereotype", "internal").create();
+	final AnalysisConstraint loginAttempts = new ConstraintDSL().ofData().neverFlows().toVertex()
+			.withCharacteristic("Stereotype", "authorization_server")
+			.withoutCharacteristic("Stereotype", "login_attempts_regulation").create();
+	final AnalysisConstraint encryptedEntry = new ConstraintDSL().ofData().withLabel("Stereotype", "entrypoint")
+			.withoutLabel("Stereotype", "encrypted_connection").neverFlows().toVertex().create();
+	final AnalysisConstraint encryptedInternals = new ConstraintDSL().ofData().withLabel("Stereotype", "internal")
+			.withoutLabel("Stereotype", "encrypted_connection").neverFlows().toVertex().create();
+	final AnalysisConstraint localLogging = new ConstraintDSL().ofData().neverFlows().toVertex()
+			.withCharacteristic("Stereotype", "internal").withoutCharacteristic("Stereotype", "local_logging").create();
+	final AnalysisConstraint logSanitization = new ConstraintDSL().ofData().neverFlows().toVertex()
+			.withCharacteristic("Stereotype", "local_logging").withoutCharacteristic("Stereotype", "log_sanitization")
+			.create();
+
+	final List<AnalysisConstraint> analysisConstraints = List.of(entryViaGatewayOnly, nonInternalGateway,
+			authenticatedRequest, transformedEntry, tokenValidation, loginAttempts, encryptedEntry, encryptedInternals,
+			localLogging, logSanitization);
+
+	protected abstract MitigationApproach getApproach(DataFlowDiagramAndDictionary dfd,
+			List<AnalysisConstraint> constraints);
+
+	protected abstract String getApproachName();
+
+	static Stream<Arguments> tuhhModelProvider() {
+		return TuhhModels.getTuhhModels().entrySet().stream()
+				.flatMap(entity -> entity.getValue().stream().map(model -> Arguments.of(entity.getKey(), model)));
+	}
+
+	@ParameterizedTest
+	@MethodSource("tuhhModelProvider")
+	void evaluateEffectiveness(String model, int variant) throws Exception {	
+		String name = model + "_" + variant;
+
+		var dfd = loadDFD(model, name);
+
+		int violationsBefore = determineViolations(dfd, analysisConstraints);
+
+		MitigationApproach approach = getApproach(dfd, analysisConstraints);
+
+		var repairedDFD = approach.repair();
+
+		int violationsAfter = determineViolations(repairedDFD, analysisConstraints);
+
+		assertEquals(0, violationsAfter);
+
+		ObjectMapper mapper = new ObjectMapper();
+		Path out = Path.of("testresults/" + getApproachName().toLowerCase() + "_violation_results.json");
+
+		List<ViolationResult> existing = Files.exists(out)
+				? mapper.readValue(out.toFile(), new TypeReference<List<ViolationResult>>() {
+				})
+				: new ArrayList<>();
+
+		existing.add(new ViolationResult(name, violationsBefore, violationsAfter));
+		mapper.writerWithDefaultPrettyPrinter().writeValue(out.toFile(), existing);
+	}
+
+	static Stream<Arguments> tuhhModelProviderBaseModel() {
+		return TuhhModels.getTuhhModels().entrySet().stream().filter(model -> model.getValue().contains(0))
+				.flatMap(entity -> entity.getValue().stream().map(model -> Arguments.of(entity.getKey(), model)));
+	}
+
+	final Map<Label, Integer> minCosts = Map.ofEntries(entry(new Label("Stereotype", "gateway"), 1),
+			entry(new Label("Stereotype", "authenticated_request"), 1),
+			entry(new Label("Stereotype", "transform_identity_representation"), 1),
+			entry(new Label("Stereotype", "token_validation"), 1),
+			entry(new Label("Stereotype", "login_attempts_regulation"), 1),
+			entry(new Label("Stereotype", "encrypted_connection"), 1),
+			entry(new Label("Stereotype", "log_sanitization"), 1), entry(new Label("Stereotype", "local_logging"), 1));
+
+	@ParameterizedTest
+	@MethodSource("tuhhModelProviderBaseModel")
+	void evaluateCost(String model, int variant) throws Exception {
+		String name = model + "_" + 0;
+
+		List<AnalysisConstraint> constraints = switch (variant) {
+		case 1 -> List.of(entryViaGatewayOnly, nonInternalGateway);
+		case 2 -> List.of(authenticatedRequest);
+		case 4 -> List.of(transformedEntry);
+		case 5 -> List.of(tokenValidation);
+		case 7 -> List.of(encryptedEntry, entryViaGatewayOnly, nonInternalGateway);
+		case 8 -> List.of(encryptedInternals);
+		case 10 -> List.of(localLogging);
+		case 11 -> List.of(localLogging, logSanitization);
+		default -> null;
+		};
+		if (constraints == null) {
+			return;
+		}
+
+		var dfd = loadDFD(model, name);
+		
+		List<dev.arcovia.mitigation.sat.Constraint> satConstraint = new ArrayList<>();
+        for (var constraint : constraints) {
+            var translation = new CNFTranslation(constraint);
+            dev.arcovia.mitigation.sat.Constraint c = translation.constructCNF().get(0);
+            satConstraint.add(c);
+        }
+		
+		int baseCost = new ModelCostCalculator(dfd, satConstraint, minCosts)
+                .calculateCostWithoutForwarding();
+
+		MitigationApproach approach = getApproach(dfd, constraints);
+        
+        approach.restrictToLabelAddition();
+
+        var repairedDFD = approach.repair();
+        
+        int violationsAfter = determineViolations(repairedDFD, constraints);
+
+        assertEquals(0, violationsAfter);
+
+		int repairedCost = new ModelCostCalculator(repairedDFD, satConstraint, minCosts)
+				.calculateCostWithoutForwarding();
+		
+		int approachCost = repairedCost - baseCost;
+
+		ObjectMapper mapper = new ObjectMapper();
+		Path out = Path.of("testresults/" + getApproachName().toLowerCase() + "_efficiency_results.json");
+
+		List<CostResult> existing = Files.exists(out)
+				? mapper.readValue(out.toFile(), new TypeReference<List<CostResult>>() {
+				})
+				: new ArrayList<>();
+
+		existing.add(new CostResult(model, variant, approachCost));
+		mapper.writerWithDefaultPrettyPrinter().writeValue(out.toFile(), existing);
+
+	}
+	
+	final AnalysisConstraint encryptedPersonalData = new ConstraintDSL().ofData().withLabel("Sensitivity", "Personal")
+            .withoutLabel("Encryption", "Encrypted").neverFlows().toVertex().withCharacteristic("Location", "nonEU")
+            .create();
+    
+	final AnalysisConstraint encryptedNonEu = new ConstraintDSL().ofData().withLabel("Encryption", "Encrypted").neverFlows().toVertex().withCharacteristic("Location", "EU")
+            .create();
+    
+    @Test
+    void forwardingEdgeCase() throws Exception {
+        var dfdLocation = "models/forwardingEdgeCase.json";
+        DataFlowDiagramAndDictionary dfd = new Web2DFDConverter().convert(new WebEditorConverterModel(dfdLocation));
+        
+        var repairedDFD = getApproach(dfd, List.of(encryptedPersonalData,encryptedNonEu )).repair();
+        
+        var violations = determineViolations(repairedDFD, List.of(encryptedPersonalData,encryptedNonEu));
+        
+        if(getApproachName().equals("SMT")) {
+            assertEquals(0, violations);
+        }
+    }
+
+	private static final String SCALE_DFD = "models/sourceSink.json";
+
+	private static final AnalysisConstraint scalabilityConstraint = new ConstraintDSL().ofData()
+			.withLabel("Sensitivity", "Personal").withoutLabel("Encryption", "encrypted").neverFlows().toVertex()
+			.withCharacteristic("Location", "nonEU").create();
+
+	private static final List<Integer> TFG_LENGTH_SCALINGS = List.of(0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500);
+
+	private static final List<Integer> TFG_AMOUNT_SCALINGS = List.of(0, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000,
+			9000, 10000, 11000, 12000, 13000, 14000, 15000);
+	
+	protected abstract List<Integer> getConstraintScaling();
+
+	private static final int MEASUREMENT_REPEATS = 3;
+	private static final int FLUSH_EVERY = 3;
+
+	@Test
+	@Disabled("Long-running scalability experiment — run via evaluateScalability()")
+	void evaluateScalability() throws Throwable {
+		Path outDir = Paths.get("testresults");
+		Files.createDirectories(outDir);
+		Path csv = outDir.resolve(getApproachName().toLowerCase() + "_performance_measurements.json");
+		Set<String> done = MeasurementWriter.loadDoneRunIds(csv);
+
+		try (MeasurementWriter writer = new MeasurementWriter(csv, done, FLUSH_EVERY)) {
+			scaleTFGLength(writer);
+			scaleTFGAmount(writer);
+			scaleConstraintAmount(writer);
+			scaleConstraintComplexity(writer);
+		}
+	}
+	
+	private void scaleTFGLength(MeasurementWriter writer) throws Throwable {
+		for (int scaling : TFG_LENGTH_SCALINGS) {
+			RunConfig cfg = RunConfig.forTFG("tfg_length", scaling, 0);
+			runWithWarmupAndRepeats(writer, cfg, () -> {
+				var dfd = new Scaler(SCALE_DFD).scaleTFGLength(scaling);
+				var repairedDFD = getApproach(dfd, List.of(scalabilityConstraint)).repair();
+                assertEquals(0, determineViolations(repairedDFD, List.of(scalabilityConstraint)));
+			});
+		}
+	}
+
+	private void scaleTFGAmount(MeasurementWriter writer) throws Throwable {
+		for (int scaling : TFG_AMOUNT_SCALINGS) {
+			RunConfig cfg = RunConfig.forTFG("tfg_amount", 0, scaling);
+			runWithWarmupAndRepeats(writer, cfg, () -> {
+				var dfd = new Scaler(SCALE_DFD).scaleTFGAmount(scaling);
+				var repairedDFD = getApproach(dfd, List.of(scalabilityConstraint)).repair();
+	            assertEquals(0, determineViolations(repairedDFD, List.of(scalabilityConstraint)));
+			});
+		}
+	}
+		
+    private void scaleConstraintAmount(MeasurementWriter writer) throws Throwable {
+        for (int amount : getConstraintScaling()) {
+            RunConfig cfg = RunConfig.forConstraints("constraints_amount", amount, 1, 1, 1, 1, 4);
+            runWithWarmupAndRepeats(writer, cfg, () -> {
+                Scaler scaler = new Scaler(SCALE_DFD);
+                DataFlowDiagramAndDictionary dfd = scaler.scaleLabels(4*amount);
+                List<AnalysisConstraint> constraints = new ArrayList<>();
+                for(int i = 0; i < amount; i++) {
+                    constraints.add(getConstraintWithCut(1,2,3,4, i*4));
+                }
+                var repairedDFD = getApproach(dfd, constraints).repair();
+                assertEquals(0, determineViolations(repairedDFD, constraints));
+            });
+        }
+        
+    }
+
+    private void scaleConstraintComplexity(MeasurementWriter writer) throws Throwable {
+        for (int scaling : getConstraintScaling()) {
+            RunConfig cfg = RunConfig.forConstraints("constraints_complexity", 35, scaling, scaling, scaling, scaling,
+                    scaling * 4);
+            runWithWarmupAndRepeats(writer, cfg, () -> {
+                Scaler scaler = new Scaler(SCALE_DFD);
+                DataFlowDiagramAndDictionary dfd = scaler.scaleLabels(scaling * 4);
+                List<AnalysisConstraint> constraints = getConstraintsWithLabels(scaling);;
+                var repairedDFD = getApproach(dfd, constraints).repair();
+                assertEquals(0, determineViolations(repairedDFD, constraints));
+            });
+        }
+    }
+	
+    public List<AnalysisConstraint> getConstraintsWithLabels(int averageLabelsPerBucket) throws IOException {
+        int totalLabels = averageLabelsPerBucket * 4;
+        int base = totalLabels < 8 ? totalLabels : 8;
+        int factor = totalLabels / base;
+
+        List<AnalysisConstraint> constraints = new ArrayList<>();
+        
+        for (int cut1 = 1; cut1 <= base - 3; cut1++) {
+            for (int cut2 = cut1 + 1; cut2 <= base - 2; cut2++) {
+                for (int cut3 = cut2 + 1; cut3 <= base - 1; cut3++) {
+                    constraints.add(getConstraintWithCut(cut1 * factor, cut2 * factor, cut3 * factor, totalLabels, 0));                             
+                }
+            }
+        }
+
+        return constraints;
+    }
+    
+    private static AnalysisConstraint getConstraintWithCut(int cut1, int cut2, int cut3, int inputLiterals, int offset) {
+        List<String> dataPos = new ArrayList<>();
+        List<String> dataNeg = new ArrayList<>();
+        List<String> nodePos = new ArrayList<>();
+        List<String> nodeNeg = new ArrayList<>();
+
+        for (int i = 0; i < cut1; i++) {
+            dataPos.add("dummy_"+Integer.toString(i + offset));
+        }
+
+        for (int i = cut1; i < cut2; i++) {
+            nodePos.add("dummy_"+Integer.toString(i + offset));
+        }
+
+        for (int i = cut2; i < cut3; i++) {
+            dataNeg.add("dummy_n"+Integer.toString(i + offset));
+        }
+
+        for (int i = cut3; i < inputLiterals; i++) {
+            nodeNeg.add("dummy_n"+Integer.toString(i + offset));
+        }
+        
+        var data = new ConstraintDSL().ofData();
+        
+        if(!dataPos.isEmpty()) {
+            data = data.withLabel("dummyCategory", dataPos);
+        }
+        
+        if(!dataNeg.isEmpty()) {
+            data = data.withoutLabel("dummyCategory", dataNeg);
+        }
+        
+        var node = data.neverFlows().toVertex();
+        
+        if(!nodePos.isEmpty()) {
+            node = node.withCharacteristic("dummyCategory", nodePos);
+        }
+        
+        if(!nodeNeg.isEmpty()) {
+            node = node.withoutCharacteristic("dummyCategory", nodeNeg);
+        }
+        
+        return node.create();        
+    }
+    
+	private void runWithWarmupAndRepeats(MeasurementWriter writer, RunConfig cfg, RunnableExperiment experiment)
+			throws Throwable {
+
+	    //Warmup
+		try {
+			experiment.run();
+		} catch (Throwable t) {
+			throw new RuntimeException(t);
+		}
+
+		for (int i = 0; i < MEASUREMENT_REPEATS; i++) {
+			if (writer.isDone(MeasurementWriter.runId(cfg, "measurement", i)))
+				continue;
+			timeMeasurement timer = new timeMeasurement();
+			try {
+				timer.start();
+				experiment.run();
+				timer.stop();
+				writer.append(cfg, timer, "measurement", i);
+			} catch (OutOfMemoryError oom) {
+				writer.appendFailure(cfg, "measurement", i, "OutOfMemoryError");
+				throw oom;
+			} catch (Throwable t) {
+				String msg = t.getMessage();
+				writer.appendFailure(cfg, "measurement", i, t.getClass().getSimpleName() + ": "
+						+ (msg != null ? msg.substring(0, Math.min(200, msg.length())) : ""));
+				throw t;
+			}
+		}
+	}
+
+	@FunctionalInterface
+	private interface RunnableExperiment {
+		void run() throws Exception;
+	}
+
+	private int determineViolations(DataFlowDiagramAndDictionary dfd, List<AnalysisConstraint> constraints) {
+		var resourceProvider = new DFDModelResourceProvider(dfd.dataDictionary(), dfd.dataFlowDiagram());
+		var analysis = new DFDDataFlowAnalysisBuilder().standalone().useCustomResourceProvider(resourceProvider)
+				.build();
+
+		analysis.initializeAnalysis();
+		var flowGraph = analysis.findFlowGraphs();
+		flowGraph.evaluate();
+
+		int violations = 0;
+
+		for (var constraint : constraints) {
+			var result = constraint.findViolations(flowGraph);
+
+			violations += result.size();
+
+		}
+		return violations;
+	}
+
+	public record ViolationResult(String modelName, int violationsBefore, int violationsAfter) {
+	}
+
+	public record CostResult(String model, int variant, int approachCost) {
+	}
+
+	private DataFlowDiagramAndDictionary loadDFD(String model, String name) throws Exception {
+		final String PROJECT_NAME = "org.dataflowanalysis.examplemodels";
+		final String location = Paths.get("scenarios", "dfd", "TUHH-Models").toString();
+		return new DataFlowDiagramAndDictionary(PROJECT_NAME,
+				Paths.get(location, model, (name + ".dataflowdiagram")).toString(),
+				Paths.get(location, model, (name + ".datadictionary")).toString(), Activator.class);
+	}
+}
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/ilpTest.java b/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/ilpTest.java
new file mode 100644
index 00000000..2a5d1d16
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/ilpTest.java
@@ -0,0 +1,32 @@
+package dev.arcovia.mitigation.evaluation.tests;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import org.dataflowanalysis.analysis.dsl.AnalysisConstraint;
+import org.dataflowanalysis.converter.dfd2web.DataFlowDiagramAndDictionary;
+import dev.arcovia.mitigation.ilp.OptimizationManager;
+import dev.arcovia.mitigation.sat.MitigationApproach;
+
+public class ilpTest extends TestBase {
+
+	@Override
+	protected MitigationApproach getApproach(DataFlowDiagramAndDictionary dfd, List<AnalysisConstraint> constraints) {
+		return new OptimizationManager(dfd, constraints);
+	}
+
+	@Override
+	protected String getApproachName() {
+		return "ILP";
+	}
+	
+	@Override
+    protected List<Integer> getConstraintScaling() {
+	    List<Integer> evens = new ArrayList<>();
+        for (int i = 2; i <= 100; i += 2) {
+            evens.add(i);
+        }
+        return evens;
+    }
+	
+}
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/satTest.java b/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/satTest.java
new file mode 100644
index 00000000..d64a6780
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/satTest.java
@@ -0,0 +1,48 @@
+package dev.arcovia.mitigation.evaluation.tests;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.ArrayList;
+import java.util.List;
+
+import org.dataflowanalysis.analysis.dsl.AnalysisConstraint;
+import org.dataflowanalysis.converter.dfd2web.DataFlowDiagramAndDictionary;
+import org.junit.jupiter.api.AfterAll;
+
+import dev.arcovia.mitigation.sat.Mechanic;
+import dev.arcovia.mitigation.sat.Constraint;
+import dev.arcovia.mitigation.sat.MitigationApproach;
+import dev.arcovia.mitigation.sat.dsl.CNFTranslation;
+
+public class satTest extends TestBase {
+
+	@Override
+	protected MitigationApproach getApproach(DataFlowDiagramAndDictionary dfd, List<AnalysisConstraint> constraints) {
+		List<Constraint> translatedConstraints = new ArrayList<>();
+
+		for (var constraint : constraints) {
+			var translation = new CNFTranslation(constraint);
+			translatedConstraints.addAll(translation.constructCNF());
+		}
+
+		return new Mechanic(dfd, "temp", translatedConstraints);
+	}
+
+	@Override
+	protected String getApproachName() {
+		return "SAT";
+	}
+		
+    @AfterAll
+    static void cleanup() throws IOException {
+        Files.deleteIfExists(Path.of("testresults/temp.cnf"));
+        Files.deleteIfExists(Path.of("testresults/temp-literalMapping.json"));
+    }
+    
+    @Override
+    protected List<Integer> getConstraintScaling() {
+        return List.of(2, 4, 6, 8, 10, 12, 14, 16, 18, 20);
+    }
+
+}
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/smtTest.java b/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/smtTest.java
new file mode 100644
index 00000000..866e1f8a
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/src/dev/arcovia/mitigation/evaluation/tests/smtTest.java
@@ -0,0 +1,33 @@
+package dev.arcovia.mitigation.evaluation.tests;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import org.dataflowanalysis.analysis.dsl.AnalysisConstraint;
+import org.dataflowanalysis.converter.dfd2web.DataFlowDiagramAndDictionary;
+
+import dev.arcovia.mitigation.sat.MitigationApproach;
+import dev.arcovia.mitigation.smt.Mechanic;
+
+public class smtTest extends TestBase {
+
+	@Override
+	protected MitigationApproach getApproach(DataFlowDiagramAndDictionary dfd, List<AnalysisConstraint> constraints) {
+		return new Mechanic(dfd, constraints);
+	}
+
+	@Override
+	protected String getApproachName() {
+		return "SMT";
+	}
+	
+	@Override
+    protected List<Integer> getConstraintScaling() {
+	    List<Integer> evens = new ArrayList<>();
+        for (int i = 2; i <= 100; i += 2) {
+            evens.add(i);
+        }
+        return evens;
+    }
+
+}
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/ilp_efficiency_results.json b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/ilp_efficiency_results.json
new file mode 100644
index 00000000..de97d233
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/ilp_efficiency_results.json
@@ -0,0 +1,205 @@
+[ {
+  "model" : "ewolff-kafka",
+  "variant" : 4,
+  "approachCost" : 1
+}, {
+  "model" : "ewolff-kafka",
+  "variant" : 5,
+  "approachCost" : 1
+}, {
+  "model" : "ewolff-kafka",
+  "variant" : 7,
+  "approachCost" : 2
+}, {
+  "model" : "ewolff-kafka",
+  "variant" : 8,
+  "approachCost" : 1
+}, {
+  "model" : "anilallewar",
+  "variant" : 7,
+  "approachCost" : 6
+}, {
+  "model" : "anilallewar",
+  "variant" : 8,
+  "approachCost" : 4
+}, {
+  "model" : "anilallewar",
+  "variant" : 11,
+  "approachCost" : 4
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 2,
+  "approachCost" : 5
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 4,
+  "approachCost" : 2
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 5,
+  "approachCost" : 2
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 7,
+  "approachCost" : 2
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 8,
+  "approachCost" : 5
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 11,
+  "approachCost" : 3
+}, {
+  "model" : "yidongnan",
+  "variant" : 2,
+  "approachCost" : 4
+}, {
+  "model" : "yidongnan",
+  "variant" : 4,
+  "approachCost" : 1
+}, {
+  "model" : "yidongnan",
+  "variant" : 5,
+  "approachCost" : 1
+}, {
+  "model" : "yidongnan",
+  "variant" : 7,
+  "approachCost" : 3
+}, {
+  "model" : "yidongnan",
+  "variant" : 8,
+  "approachCost" : 4
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 1,
+  "approachCost" : 0
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 2,
+  "approachCost" : 3
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 4,
+  "approachCost" : 0
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 5,
+  "approachCost" : 0
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 7,
+  "approachCost" : 0
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 8,
+  "approachCost" : 4
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 10,
+  "approachCost" : 3
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 11,
+  "approachCost" : 6
+}, {
+  "model" : "spring-petclinic",
+  "variant" : 2,
+  "approachCost" : 2
+}, {
+  "model" : "spring-petclinic",
+  "variant" : 5,
+  "approachCost" : 2
+}, {
+  "model" : "spring-petclinic",
+  "variant" : 7,
+  "approachCost" : 2
+}, {
+  "model" : "spring-petclinic",
+  "variant" : 8,
+  "approachCost" : 2
+}, {
+  "model" : "callistaenterprise",
+  "variant" : 2,
+  "approachCost" : 3
+}, {
+  "model" : "callistaenterprise",
+  "variant" : 11,
+  "approachCost" : 9
+}, {
+  "model" : "jferrater",
+  "variant" : 2,
+  "approachCost" : 1
+}, {
+  "model" : "jferrater",
+  "variant" : 5,
+  "approachCost" : 0
+}, {
+  "model" : "jferrater",
+  "variant" : 7,
+  "approachCost" : 0
+}, {
+  "model" : "jferrater",
+  "variant" : 8,
+  "approachCost" : 1
+}, {
+  "model" : "apssouza22",
+  "variant" : 2,
+  "approachCost" : 6
+}, {
+  "model" : "apssouza22",
+  "variant" : 4,
+  "approachCost" : 3
+}, {
+  "model" : "apssouza22",
+  "variant" : 7,
+  "approachCost" : 7
+}, {
+  "model" : "apssouza22",
+  "variant" : 8,
+  "approachCost" : 5
+}, {
+  "model" : "sqshq",
+  "variant" : 7,
+  "approachCost" : 3
+}, {
+  "model" : "sqshq",
+  "variant" : 8,
+  "approachCost" : 10
+}, {
+  "model" : "sqshq",
+  "variant" : 10,
+  "approachCost" : 0
+}, {
+  "model" : "sqshq",
+  "variant" : 11,
+  "approachCost" : 4
+}, {
+  "model" : "georgwittberger",
+  "variant" : 2,
+  "approachCost" : 1
+}, {
+  "model" : "georgwittberger",
+  "variant" : 4,
+  "approachCost" : 1
+}, {
+  "model" : "georgwittberger",
+  "variant" : 5,
+  "approachCost" : 1
+}, {
+  "model" : "georgwittberger",
+  "variant" : 7,
+  "approachCost" : 2
+}, {
+  "model" : "georgwittberger",
+  "variant" : 8,
+  "approachCost" : 1
+}, {
+  "model" : "georgwittberger",
+  "variant" : 10,
+  "approachCost" : 3
+}, {
+  "model" : "georgwittberger",
+  "variant" : 11,
+  "approachCost" : 6
+} ]
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/ilp_performance_measurements.json b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/ilp_performance_measurements.json
new file mode 100644
index 00000000..4d9b5d3d
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/ilp_performance_measurements.json
@@ -0,0 +1,7621 @@
+[ {
+  "timestamp" : "2026-04-22T08:16:41.077502Z",
+  "runId" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|0",
+  "key" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0",
+  "experiment" : "tfg_length",
+  "tfgLengthScaling" : 0.0,
+  "tfgAmountScaling" : 0.0,
+  "amountConstraint" : 1,
+  "numberWithLabel" : 1,
+  "numberWithoutLabel" : 1,
+  "numberWithCharacteristic" : 1,
+  "numberWithoutCharacteristic" : 1,
+  "numberDummyLabels" : 0,
+  "runType" : "measurement",
+  "repeatIndex" : 0,
+  "executionTime" : 14,
+  "solvingTime" : 0,
+  "isolatedExecution" : 14,
+  "status" : "ok",
+  "error" : ""
+}, {
+  "timestamp" : "2026-04-22T08:16:41.087589Z",
+  "runId" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|1",
+  "key" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0",
+  "experiment" : "tfg_length",
+  "tfgLengthScaling" : 0.0,
+  "tfgAmountScaling" : 0.0,
+  "amountConstraint" : 1,
+  "numberWithLabel" : 1,
+  "numberWithoutLabel" : 1,
+  "numberWithCharacteristic" : 1,
+  "numberWithoutCharacteristic" : 1,
+  "numberDummyLabels" : 0,
+  "runType" : "measurement",
+  "repeatIndex" : 1,
+  "executionTime" : 9,
+  "solvingTime" : 0,
+  "isolatedExecution" : 9,
+  "status" : "ok",
+  "error" : ""
+}, {
+  "timestamp" : "2026-04-22T08:16:41.096896Z",
+  "runId" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|2",
+  "key" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0",
+  "experiment" : "tfg_length",
+  "tfgLengthScaling" : 0.0,
+  "tfgAmountScaling" : 0.0,
+  "amountConstraint" : 1,
+  "numberWithLabel" : 1,
+  "numberWithoutLabel" : 1,
+  "numberWithCharacteristic" : 1,
+  "numberWithoutCharacteristic" : 1,
+  "numberDummyLabels" : 0,
+  "runType" : "measurement",
+  "repeatIndex" : 2,
+  "executionTime" : 9,
+  "solvingTime" : 0,
+  "isolatedExecution" : 9,
+  "status" : "ok",
+  "error" : ""
+}, {
+  "timestamp" : "2026-04-22T08:16:41.214178Z",
+  "runId" : "tfg_length|tfgL=50|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|0",
+  "key" : "tfg_length|tfgL=50|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0",
+  "experiment" : "tfg_length",
+  "tfgLengthScaling" : 50.0,
+  "tfgAmountScaling" : 0.0,
+  "amountConstraint" : 1,
+  "numberWithLabel" : 1,
+  "numberWithoutLabel" : 1,
+  "numberWithCharacteristic" : 1,
+  "numberWithoutCharacteristic" : 1,
+  "numberDummyLabels" : 0,
+  "runType" : "measurement",
+  "repeatIndex" : 0,
+  "executionTime" : 48,
+  "solvingTime" : 0,
+  "isolatedExecution" : 48,
+  "status" : "ok",
+  "error" : ""
+}, {
+  "timestamp" : "2026-04-22T08:16:41.256694Z",
+  "runId" : "tfg_length|tfgL=50|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|1",
+  "key" : "tfg_length|tfgL=50|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0",
+  "experiment" : "tfg_length",
+  "tfgLengthScaling" : 50.0,
+  "tfgAmountScaling" : 0.0,
+  "amountConstraint" : 1,
+  "numberWithLabel" : 1,
+  "numberWithoutLabel" : 1,
+  "numberWithCharacteristic" : 1,
+  "numberWithoutCharacteristic" : 1,
+  "numberDummyLabels" : 0,
+  "runType" : "measurement",
+  "repeatIndex" : 1,
+  "executionTime" : 42,
+  "solvingTime" : 0,
+  "isolatedExecution" : 42,
+  "status" : "ok",
+  "error" : ""
+}, {
+  "timestamp" : "2026-04-22T08:16:41.285889Z",
+  "runId" : "tfg_length|tfgL=50|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|2",
+  "key" : "tfg_length|tfgL=50|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0",
+  "experiment" : "tfg_length",
+  "tfgLengthScaling" : 50.0,
+  "tfgAmountScaling" : 0.0,
+  "amountConstraint" : 1,
+  "numberWithLabel" : 1,
+  "numberWithoutLabel" : 1,
+  "numberWithCharacteristic" : 1,
+  "numberWithoutCharacteristic" : 1,
+  "numberDummyLabels" : 0,
+  "runType" : "measurement",
+  "repeatIndex" : 2,
+  "executionTime" : 29,
+  "solvingTime" : 0,
+  "isolatedExecution" : 29,
+  "status" : "ok",
+  "error" : ""
+}, {
+  "timestamp" : "2026-04-22T08:16:41.458203Z",
+  "runId" : "tfg_length|tfgL=100|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|0",
+  "key" : "tfg_length|tfgL=100|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0",
+  "experiment" : "tfg_length",
+  "tfgLengthScaling" : 100.0,
+  "tfgAmountScaling" : 0.0,
+  "amountConstraint" : 1,
+  "numberWithLabel" : 1,
+  "numberWithoutLabel" : 1,
+  "numberWithCharacteristic" : 1,
+  "numberWithoutCharacteristic" : 1,
+  "numberDummyLabels" : 0,
+  "runType" : "measurement",
+  "repeatIndex" : 0,
+  "executionTime" : 82,
+  "solvingTime" : 0,
+  "isolatedExecution" : 82,
+  "status" : "ok",
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+} ]
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/ilp_violation_results.json b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/ilp_violation_results.json
new file mode 100644
index 00000000..0758febc
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/ilp_violation_results.json
@@ -0,0 +1,441 @@
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+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_0",
+  "violationsBefore" : 11,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_1",
+  "violationsBefore" : 18,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_2",
+  "violationsBefore" : 9,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_3",
+  "violationsBefore" : 24,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_4",
+  "violationsBefore" : 18,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_5",
+  "violationsBefore" : 24,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_6",
+  "violationsBefore" : 18,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_7",
+  "violationsBefore" : 10,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_8",
+  "violationsBefore" : 7,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_9",
+  "violationsBefore" : 11,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_10",
+  "violationsBefore" : 22,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_11",
+  "violationsBefore" : 14,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_12",
+  "violationsBefore" : 22,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_18",
+  "violationsBefore" : 18,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "rohitghatol_10",
+  "violationsBefore" : 297,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "rohitghatol_12",
+  "violationsBefore" : 297,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "rohitghatol_18",
+  "violationsBefore" : 280,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_0",
+  "violationsBefore" : 143,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_2",
+  "violationsBefore" : 137,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_3",
+  "violationsBefore" : 272,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_5",
+  "violationsBefore" : 246,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_6",
+  "violationsBefore" : 245,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_7",
+  "violationsBefore" : 110,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_8",
+  "violationsBefore" : 137,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_9",
+  "violationsBefore" : 161,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_18",
+  "violationsBefore" : 245,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_0",
+  "violationsBefore" : 197,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_2",
+  "violationsBefore" : 147,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_6",
+  "violationsBefore" : 149,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_11",
+  "violationsBefore" : 146,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_18",
+  "violationsBefore" : 298,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "ewolff_5",
+  "violationsBefore" : 86,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "ewolff_10",
+  "violationsBefore" : 64,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "ewolff_12",
+  "violationsBefore" : 64,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "ewolff_18",
+  "violationsBefore" : 74,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_0",
+  "violationsBefore" : 21,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_2",
+  "violationsBefore" : 44,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_3",
+  "violationsBefore" : 91,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_5",
+  "violationsBefore" : 84,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_6",
+  "violationsBefore" : 75,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_7",
+  "violationsBefore" : 35,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_8",
+  "violationsBefore" : 44,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_9",
+  "violationsBefore" : 57,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_18",
+  "violationsBefore" : 102,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_0",
+  "violationsBefore" : 162,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_2",
+  "violationsBefore" : 76,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_4",
+  "violationsBefore" : 102,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_6",
+  "violationsBefore" : 95,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_7",
+  "violationsBefore" : 85,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_8",
+  "violationsBefore" : 76,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_12",
+  "violationsBefore" : 139,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_18",
+  "violationsBefore" : 149,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_0",
+  "violationsBefore" : 344,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_6",
+  "violationsBefore" : 203,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_7",
+  "violationsBefore" : 222,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_8",
+  "violationsBefore" : 188,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_9",
+  "violationsBefore" : 253,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_10",
+  "violationsBefore" : 354,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_11",
+  "violationsBefore" : 267,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_12",
+  "violationsBefore" : 389,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_18",
+  "violationsBefore" : 350,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_0",
+  "violationsBefore" : 19,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_2",
+  "violationsBefore" : 13,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_3",
+  "violationsBefore" : 39,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_4",
+  "violationsBefore" : 13,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_5",
+  "violationsBefore" : 36,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_6",
+  "violationsBefore" : 30,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_7",
+  "violationsBefore" : 12,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_8",
+  "violationsBefore" : 15,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_10",
+  "violationsBefore" : 26,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_11",
+  "violationsBefore" : 21,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_12",
+  "violationsBefore" : 26,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_18",
+  "violationsBefore" : 25,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "mdeket_5",
+  "violationsBefore" : 191,
+  "violationsAfter" : 0
+} ]
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/combinedCostEfficiency.py b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/combinedCostEfficiency.py
new file mode 100644
index 00000000..9efd99cd
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/combinedCostEfficiency.py
@@ -0,0 +1,139 @@
+import json
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from matplotlib.colors import TwoSlopeNorm
+
+FILES = {
+    "SAT": "../sat_efficiency_results.json",
+    "SMT": "../smt_efficiency_results.json",
+    "ILP": "../ilp_efficiency_results.json",
+}
+
+F_MODEL    = "model"
+F_VARIANT  = "variant"
+F_APPROACH = "approachCost"
+
+Y_ORDER = [
+    "anilallewar", "apssouza22", "callistaenterprise", "ewolff-kafka",
+    "georgwittberger", "jferrater", "koushikkothagal", "mudigal-technologies",
+    "spring-petclinic", "sqshq", "yidongnan",
+]
+
+
+def load_delta_matrix(path):
+    with open(path) as f:
+        data = json.load(f)
+
+    rows = [{
+        "project": d[F_MODEL],
+        "variant": int(d[F_VARIANT]),
+        "delta": float(d[F_APPROACH]),
+    } for d in data]
+
+    df = pd.DataFrame(rows)
+    mat = df.pivot(index="project", columns="variant", values="delta")
+    return mat.reindex(sorted(mat.columns), axis=1)
+
+
+def prepare_matrices(files):
+    matrices = {name: load_delta_matrix(path) for name, path in files.items()}
+
+    all_projects = set().union(*(m.index for m in matrices.values()))
+    all_variants = sorted(set().union(*(m.columns for m in matrices.values())))
+
+    row_order = (
+        [p for p in Y_ORDER if p in all_projects]
+        + sorted(p for p in all_projects if p not in Y_ORDER)
+    )
+
+    for name in matrices:
+        matrices[name] = matrices[name].reindex(
+            index=row_order,
+            columns=all_variants,
+        )
+
+    return matrices
+
+
+def plot_combined_heatmaps(matrices, out_path="combined_efficiency.pdf"):
+    vmax = max(
+        float(np.nanmax(np.abs(m.to_numpy()))) if m.notna().any().any() else 1.0
+        for m in matrices.values()
+    )
+
+    cmap = plt.cm.RdYlGn_r.copy()
+    cmap.set_bad(color="white")
+    norm = TwoSlopeNorm(vmin=-vmax, vcenter=0.0, vmax=vmax)
+
+    fig, axes = plt.subplots(
+        1, 3,
+        figsize=(13.8, 5.2),
+        sharey=True,
+        constrained_layout=True,
+    )
+
+    im = None
+
+    for ax, (name, mat) in zip(axes, matrices.items()):
+        Z = mat.to_numpy()
+        mask = np.isnan(Z)
+
+        im = ax.imshow(
+            np.ma.array(Z, mask=mask),
+            cmap=cmap,
+            norm=norm,
+            aspect="auto",
+        )
+
+        ax.set_title(name, fontweight="bold")
+
+        ax.set_xticks(range(mat.shape[1]))
+        ax.set_xticklabels(mat.columns.astype(int), rotation=30, ha="right")
+
+        ax.set_xticks(np.arange(-0.5, mat.shape[1], 1), minor=True)
+        ax.set_yticks(np.arange(-0.5, mat.shape[0], 1), minor=True)
+        ax.grid(which="minor", color="lightgray", linewidth=0.8)
+        ax.tick_params(which="minor", bottom=False, left=False)
+
+        ax.set_xlabel("Constraint")
+
+        for spine in ax.spines.values():
+            spine.set_visible(False)
+
+        for i in range(mat.shape[0]):
+            for j in range(mat.shape[1]):
+                v = Z[i, j]
+                if np.isnan(v):
+                    continue
+                color = "white" if abs(v) > 0.45 * vmax else "black"
+                ax.text(
+                    j, i, f"{int(v):d}",
+                    ha="center",
+                    va="center",
+                    color=color,
+                    fontsize=8,
+                )
+
+    axes[0].set_yticks(range(next(iter(matrices.values())).shape[0]))
+    axes[0].set_yticklabels(next(iter(matrices.values())).index)
+
+    for ax in axes[1:]:
+        ax.tick_params(
+            axis="y",
+            which="both",
+            left=False,
+            labelleft=False
+        )
+
+    fig.savefig(out_path, format="pdf", bbox_inches="tight")
+    plt.close(fig)
+
+
+matrices = prepare_matrices(FILES)
+
+for name, mat in matrices.items():
+    total = np.nansum(mat.to_numpy())  # ignores NaNs
+    print(f"{name}: {total:.0f}")
+
+plot_combined_heatmaps(matrices, out_path="combined_efficiency.pdf")
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/combinedScalability.py b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/combinedScalability.py
new file mode 100644
index 00000000..e1cb4fd2
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/combinedScalability.py
@@ -0,0 +1,151 @@
+from pathlib import Path
+import json
+import pandas as pd
+import matplotlib.pyplot as plt
+
+APPROACHES = {
+    "SAT": Path("../sat_performance_measurements.json"),
+    "SMT": Path("../smt_performance_measurements.json"),
+    "ILP": Path("../ilp_performance_measurements.json"),
+}
+
+OUT_DIR = Path("")
+OUT_DIR.mkdir(parents=True, exist_ok=True)
+
+EXPERIMENTS = {
+    "tfg_length": {
+        "x_col": "tfgLengthScaling",
+        "x_label": "Length of TFG",
+    },
+    "tfg_amount": {
+        "x_col": "tfgAmountScaling",
+        "x_label": "Number of TFGs",
+    },
+    "constraints_amount": {
+        "x_col": "amountConstraint",
+        "x_label": "Number of Constraints",
+    },
+    "constraints_complexity": {
+        "x_col": "numberDummyLabels",
+        "x_label": "Labels per Constraint",
+    },
+}
+
+MARKERS = {"SAT": "o", "SMT": "s", "ILP": "^"}
+
+
+def load_means(json_path: Path):
+    with open(json_path) as f:
+        df = pd.DataFrame(json.load(f))
+
+    if "status" in df.columns:
+        df = df[df["status"] == "ok"].copy()
+    if "runType" in df.columns:
+        df = df[df["runType"] == "measurement"].copy()
+
+    expected = {0, 1, 2}
+    problems = []
+
+    for key, group in df.groupby("key"):
+        got = set(group["repeatIndex"].tolist())
+        if got != expected:
+            missing = sorted(expected - got)
+            extra = sorted(got - expected)
+            detail = []
+            if missing:
+                detail.append(f"missing {missing}")
+            if extra:
+                detail.append(f"extra {extra}")
+            problems.append(f"  {key}: {', '.join(detail)} (got {sorted(got)})")
+
+    if problems:
+        raise ValueError(
+            f"{json_path.name}: {len(problems)} config(s) do not have exactly "
+            f"repeatIndex 0, 1, 2:\n" + "\n".join(problems)
+        )
+
+    out = {}
+
+    for exp, cfg in EXPERIMENTS.items():
+        sub = df[df["experiment"] == exp]
+        if sub.empty:
+            continue
+
+        out[exp] = (
+            sub.groupby(cfg["x_col"], as_index=False)["executionTime"]
+            .mean()
+            .sort_values(cfg["x_col"])
+        )
+
+    return out
+
+
+def plot_scalability_panel(loaded, out_name="combined_scalability.pdf"):
+    panels = [
+        ("tfg_amount", "(a) Number of TFGs", "linear"),
+        ("tfg_length", "(b) TFG Length", "linear"),
+        ("constraints_amount", "(c) Number of Constraints", "log"),
+        ("constraints_complexity", "(d) Constraint Complexity", "log"),
+    ]
+
+    fig, axes = plt.subplots(2, 2, figsize=(10, 7.5))
+    axes = axes.flatten()
+
+    for ax, (exp, panel_title, scale) in zip(axes, panels):
+        cfg = EXPERIMENTS[exp]
+        x_col = cfg["x_col"]
+
+        data_by_approach = {
+            approach: data[exp]
+            for approach, data in loaded.items()
+            if exp in data
+        }
+
+        if not data_by_approach:
+            ax.set_visible(False)
+            continue
+
+        for approach, df in data_by_approach.items():
+            ax.plot(
+                df[x_col],
+                df["executionTime"],
+                marker=MARKERS.get(approach, "o"),
+                label=approach,
+                linewidth=1.5,
+                markersize=4,
+            )
+
+        ax.set_xlabel(cfg["x_label"])
+        ax.set_ylabel("Execution time [ms]")
+
+        if scale == "log":
+            ax.set_yscale("symlog")
+            ax.set_ylabel("Execution time [ms] (log)")
+            ax.grid(True, which="both")
+        else:
+            ax.grid(True)
+
+        ax.legend(
+            loc="upper left",
+            fontsize=8,
+            frameon=True
+        )
+
+    fig.tight_layout(rect=[0, 0, 1, 0.96])
+    fig.savefig(OUT_DIR / out_name, format="pdf", bbox_inches="tight")
+    plt.close(fig)
+
+
+loaded = {}
+
+for approach, path in APPROACHES.items():
+    if not path.exists():
+        print(f"[skip] {approach}: {path} not found")
+        continue
+
+    loaded[approach] = load_means(path)
+
+if not loaded:
+    raise RuntimeError("No input files found.")
+
+plot_scalability_panel(loaded)
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/costEfficiency.py b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/costEfficiency.py
new file mode 100644
index 00000000..51852920
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/costEfficiency.py
@@ -0,0 +1,97 @@
+import json
+from pathlib import Path
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from matplotlib.colors import TwoSlopeNorm
+
+FILES = {
+    "sat": "../sat_efficiency_results.json",
+    "ilp": "../ilp_efficiency_results.json",
+    "smt": "../smt_efficiency_results.json",
+}
+
+F_MODEL    = "model"
+F_VARIANT  = "variant"
+F_APPROACH = "approachCost"
+
+Y_ORDER = [
+    "anilallewar", "apssouza22", "callistaenterprise", "ewolff-kafka",
+    "georgwittberger", "jferrater", "koushikkothagal", "mudigal-technologies",
+    "spring-petclinic", "sqshq", "yidongnan",
+]
+
+
+def load_delta_matrix(path):
+    with open(path) as f:
+        data = json.load(f)
+    rows = [{
+        "project":    d[F_MODEL],
+        "constraint": int(d[F_VARIANT]),
+        "delta":      float(d[F_APPROACH]),
+    } for d in data]
+    df = pd.DataFrame(rows)
+    mat = df.pivot(index="project", columns="constraint", values="delta")
+    return mat.reindex(sorted(mat.columns), axis=1)
+
+
+def save_heatmap_pdf(mat, vmax, out_path):
+    Z = mat.to_numpy()
+    mask = np.isnan(Z)
+
+    cmap = plt.cm.RdYlGn_r.copy()
+    cmap.set_bad(color="white")
+    norm = TwoSlopeNorm(vmin=-vmax, vcenter=0.0, vmax=vmax)
+
+    fig, ax = plt.subplots(figsize=(6.5, 6.8))
+    ax.imshow(np.ma.array(Z, mask=mask), cmap=cmap, norm=norm, aspect="auto")
+
+    ax.set_xticks(range(mat.shape[1]))
+    ax.set_xticklabels(mat.columns.astype(int), rotation=30, ha="right")
+    ax.set_yticks(range(mat.shape[0]))
+    ax.set_yticklabels(mat.index, fontweight="bold")
+    ax.set_xlabel("Variant")
+
+    ax.set_xticks(np.arange(-.5, mat.shape[1], 1), minor=True)
+    ax.set_yticks(np.arange(-.5, mat.shape[0], 1), minor=True)
+    ax.grid(which="minor", color="lightgray", linewidth=1)
+    ax.tick_params(which="minor", bottom=False, left=False)
+    for s in ax.spines.values():
+        s.set_visible(False)
+
+    for i in range(mat.shape[0]):
+        for j in range(mat.shape[1]):
+            v = Z[i, j]
+            if np.isnan(v):
+                continue
+            color = "white" if abs(v) > 0.45 * vmax else "black"
+            ax.text(j, i, f"{int(v):d}", ha="center", va="center",
+                    color=color, fontsize=9)
+
+    fig.tight_layout()
+    fig.savefig(out_path, format="pdf", bbox_inches="tight")
+    plt.close(fig)
+
+
+# --- Load the three files ---
+matrices = {name: load_delta_matrix(p) for name, p in FILES.items()}
+
+# --- Unify rows and columns across all three so the plots line up ---
+all_projects = set().union(*(m.index for m in matrices.values()))
+all_variants = sorted(set().union(*(m.columns for m in matrices.values())))
+row_order = [p for p in Y_ORDER if p in all_projects] + \
+            sorted(p for p in all_projects if p not in Y_ORDER)
+
+for name in matrices:
+    matrices[name] = matrices[name].reindex(index=row_order, columns=all_variants)
+
+# --- Shared diverging scale around 0 (so PDFs are visually comparable) ---
+vmax = max(
+    float(np.nanmax(np.abs(m.to_numpy()))) if m.notna().any().any() else 1.0
+    for m in matrices.values()
+)
+
+# --- Save one PDF per approach ---
+for name, mat in matrices.items():
+    save_heatmap_pdf(mat, vmax=vmax, out_path=f"{name}_efficiency.pdf")
+    print(f"wrote {name}.pdf")
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/effectiveness.py b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/effectiveness.py
new file mode 100644
index 00000000..9c30449c
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/effectiveness.py
@@ -0,0 +1,87 @@
+import re
+import json
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from matplotlib.colors import ListedColormap
+
+FILES = {
+    "sat": "../sat_violation_results.json",
+    "ilp": "../ilp_violation_results.json",
+    "smt": "../smt_violation_results.json",
+}
+
+F_MODEL  = "modelName"
+F_BEFORE = "violationsBefore"
+F_AFTER  = "violationsAfter"
+
+KEY_PAT = re.compile(r"^(.*)_(\d+)$")
+
+
+def load_tables(path):
+    """Return (before_pivot, after_pivot) keyed by project x variant."""
+    with open(path) as f:
+        data = json.load(f)
+
+    rows = []
+    for entry in data:
+        m = KEY_PAT.match(entry[F_MODEL])
+        if not m:
+            raise ValueError(f"Bad key format: {entry[F_MODEL]}")
+        project, variant = m.group(1), int(m.group(2))
+        rows.append((project, variant,
+                     int(entry[F_BEFORE]), int(entry[F_AFTER])))
+
+    df = pd.DataFrame(rows, columns=["project", "variant", "before", "after"])
+    before = df.pivot(index="project", columns="variant", values="before").sort_index()
+    after  = df.pivot(index="project", columns="variant", values="after").sort_index()
+    before = before.reindex(sorted(before.columns), axis=1)
+    after  = after.reindex(sorted(after.columns),  axis=1)
+    print("Violations before: ",before.sum().sum())
+    print("Violations after: ",after.sum().sum())
+    return before, after
+
+
+def save_pdf(before, after, out_path, title=None):
+    mask_missing = before.isna().to_numpy()
+    bg = np.where(mask_missing, np.nan, 1.0)
+
+    fig_w = max(8, 0.6 * before.shape[1] + 4)
+    fig_h = max(6, 0.45 * before.shape[0] + 2)
+    fig, ax = plt.subplots(figsize=(fig_w, fig_h))
+
+    cmap = ListedColormap(["#d9d9d9"])
+    cmap.set_bad(color="white")
+    ax.imshow(bg, cmap=cmap, vmin=0, vmax=1, aspect="auto")
+
+    ax.set_xticks(np.arange(before.shape[1]))
+    ax.set_xticklabels(before.columns.astype(str))
+    ax.set_yticks(np.arange(before.shape[0]))
+    ax.set_yticklabels(before.index)
+    ax.set_xlabel("Variant")
+    if title:
+        ax.set_title(title)
+
+    ax.set_xticks(np.arange(-0.5, before.shape[1], 1), minor=True)
+    ax.set_yticks(np.arange(-0.5, before.shape[0], 1), minor=True)
+    ax.grid(which="minor", color="#bfbfbf", linewidth=1)
+    ax.tick_params(which="minor", bottom=False, left=False)
+
+    b = before.to_numpy()
+    a = after.to_numpy()
+    for i in range(b.shape[0]):
+        for j in range(b.shape[1]):
+            if not np.isnan(b[i, j]):
+                ax.text(j, i, f"{int(b[i, j])} \u2192 {int(a[i, j])}",
+                        ha="center", va="center", fontsize=8)
+
+    fig.tight_layout()
+    fig.savefig(out_path, format="pdf", bbox_inches="tight")
+    plt.close(fig)
+
+
+for name, path in FILES.items():
+    before, after = load_tables(path)
+    out = f"{name}_effectiveness.pdf"
+    save_pdf(before, after, out)
+    print(f"wrote {out}")
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/scalability.py b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/scalability.py
new file mode 100644
index 00000000..8d0c1657
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/scalability.py
@@ -0,0 +1,122 @@
+from pathlib import Path
+import json
+import pandas as pd
+import matplotlib.pyplot as plt
+
+APPROACHES = {
+    "SAT": Path("../sat_performance_measurements.json"),
+    "ILP": Path("../ilp_performance_measurements.json"),
+    "SMT": Path("../smt_performance_measurements.json"),
+}
+OUT_DIR = Path("")
+OUT_DIR.mkdir(parents=True, exist_ok=True)
+
+EXPERIMENTS = {
+    "tfg_length":             {"x_col": "tfgLengthScaling", "x_label": "Length of TFG", "prefix": "tfg_length",             "rotation": 0},
+    "tfg_amount":             {"x_col": "tfgAmountScaling", "x_label": "Amount of TFGs", "prefix": "tfg_amount",             "rotation": 45},
+    "constraints_amount":     {"x_col": "amountConstraint", "x_label": "Amount of Constraints", "prefix": "constraints_amount",     "rotation": 0},
+    "constraints_complexity": {"x_col": "numberWithLabel",  "x_label": "Labels per Constraints", "prefix": "constraints_complexity", "rotation": 0},
+}
+
+MARKERS = {"SAT": "o", "ILP": "s", "SMT": "^"}
+
+
+def load_means(json_path):
+    with open(json_path) as f:
+        df = pd.DataFrame(json.load(f))
+    if "status" in df.columns:
+        df = df[df["status"] == "ok"].copy()
+    if "runType" in df.columns:
+        df = df[df["runType"] == "measurement"].copy()
+
+    # --- Validate 3 repeats (0, 1, 2) per configuration ---
+    EXPECTED = {0, 1, 2}
+    problems = []
+    for key, group in df.groupby("key"):
+        got = set(group["repeatIndex"].tolist())
+        if got != EXPECTED:
+            missing = sorted(EXPECTED - got)
+            extra   = sorted(got - EXPECTED)
+            detail  = []
+            if missing: detail.append(f"missing {missing}")
+            if extra:   detail.append(f"extra {extra}")
+            problems.append(f"  {key}: {', '.join(detail)} (got {sorted(got)})")
+    if problems:
+        raise ValueError(
+            f"{json_path.name}: {len(problems)} config(s) do not have exactly "
+            f"repeatIndex 0, 1, 2:\n" + "\n".join(problems)
+        )
+
+    out = {}
+    for exp, cfg in EXPERIMENTS.items():
+        sub = df[df["experiment"] == exp]
+        if sub.empty:
+            continue
+        out[exp] = (sub.groupby(cfg["x_col"], as_index=False)["executionTime"]
+                       .mean().sort_values(cfg["x_col"]))
+    return out
+
+
+def _save(fig, name):
+    fig.tight_layout()
+    fig.savefig(OUT_DIR / f"{name}.pdf", format="pdf", bbox_inches='tight')
+    plt.close(fig)
+
+
+def plot_comparison(exp, cfg, data_by_approach):
+    x_col = cfg["x_col"]
+
+    # linear
+    fig, ax = plt.subplots()
+    for approach, df in data_by_approach.items():
+        ax.plot(
+            df[x_col],
+            df["executionTime"],
+            marker=MARKERS.get(approach, "o"),
+            label=approach
+        )
+
+    ax.set_xlabel(cfg["x_label"])
+    ax.set_ylabel("Mean execution time in ms")
+    ax.grid(True)
+    ax.legend(loc="upper left")
+
+    _save(fig, f"{cfg['prefix']}_linear")
+
+    # log
+    fig, ax = plt.subplots()
+    for approach, df in data_by_approach.items():
+        ax.plot(
+            df[x_col],
+            df["executionTime"],
+            marker=MARKERS.get(approach, "o"),
+            label=approach
+        )
+
+    ax.set_yscale("symlog")
+    ax.set_xlabel(cfg["x_label"])
+    ax.set_ylabel("Mean execution time in ms (log scale)")
+    ax.grid(True, which="both")
+    ax.legend(loc="upper left")
+
+    _save(fig, f"{cfg['prefix']}_log")
+
+
+# Load all approaches
+loaded = {}
+for approach, path in APPROACHES.items():
+    if not path.exists():
+        print(f"[skip] {approach}: {path} not found")
+        continue
+    loaded[approach] = load_means(path)
+
+# One plot pair per experiment, with all available approaches overlaid
+for exp, cfg in EXPERIMENTS.items():
+    data_by_approach = {a: d[exp] for a, d in loaded.items() if exp in d}
+    if not data_by_approach:
+        print(f"[skip] {exp}: no approach has data")
+        continue
+    plot_comparison(exp, cfg, data_by_approach)
+    print(f"[ok] {cfg['prefix']}_linear.pdf, {cfg['prefix']}_log.pdf  ({', '.join(data_by_approach)})")
+
+print(f"\nDone. PDFs in {OUT_DIR.resolve()}/")
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/statistical.py b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/statistical.py
new file mode 100644
index 00000000..301bb0a2
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/plots/statistical.py
@@ -0,0 +1,141 @@
+from pathlib import Path
+import json
+
+import numpy as np
+import pandas as pd
+import statsmodels.formula.api as smf
+
+
+APPROACHES = {
+    "SAT": "../sat_performance_measurements.json",
+    "SMT": "../smt_performance_measurements.json",
+    "ILP": "../ilp_performance_measurements.json",
+}
+
+EXPERIMENTS = {
+    "tfg_amount": "tfgAmountScaling",
+    "tfg_length": "tfgLengthScaling",
+    "constraints_amount": "amountConstraint",
+    "constraints_complexity": "numberDummyLabels",
+}
+
+
+def load_data():
+    dfs = []
+
+    for approach, path in APPROACHES.items():
+        with open(path) as f:
+            df = pd.DataFrame(json.load(f))
+
+        df = df[df["status"] == "ok"]
+        df = df[df["runType"] == "measurement"]
+
+        df["approach"] = approach
+        dfs.append(df)
+
+    return pd.concat(dfs, ignore_index=True)
+
+
+def format_p(p):
+    if p < 0.00001:
+        return "p < 0.00001"
+    return f"p = {p:.5f}"
+
+
+def slope_expression(method, param_names):
+    """
+    Returns a contrast vector that extracts the log-log slope
+    for the given method.
+    """
+    v = np.zeros(len(param_names))
+
+    # Every method includes the base log_input slope
+    v[param_names.index("log_input")] = 1
+
+    # ILP/SMT have additional interaction terms relative to SAT
+    if method != "SAT":
+        interaction = (
+            f"C(approach, Treatment(reference='SAT'))"
+            f"[T.{method}]:log_input"
+        )
+
+        if interaction in param_names:
+            v[param_names.index(interaction)] = 1
+
+    return v
+
+
+df = load_data()
+
+
+for experiment, x_col in EXPERIMENTS.items():
+
+    sub = df[df["experiment"] == experiment].copy()
+
+    sub = sub.rename(columns={
+        x_col: "input_size",
+        "executionTime": "runtime"
+    })
+
+    sub = sub[(sub["input_size"] > 0) & (sub["runtime"] > 0)].copy()
+
+    sub["approach"] = pd.Categorical(
+        sub["approach"],
+        categories=["SAT", "SMT", "ILP"]
+    )
+
+    sub["log_input"] = np.log(sub["input_size"])
+    sub["log_runtime"] = np.log(sub["runtime"])
+
+    model = smf.ols(
+        "log_runtime ~ C(approach, Treatment(reference='SAT')) * log_input",
+        data=sub
+    ).fit(cov_type="HC3")
+
+    param_names = list(model.params.index)
+
+    slopes = {}
+    for method in ["SAT", "SMT", "ILP"]:
+        v = slope_expression(method, param_names)
+        slopes[method] = float(v @ model.params)
+
+    print("\n" + "=" * 80)
+    print(experiment)
+    print("=" * 80)
+
+    print("\nScaling exponents:")
+    for method, slope in slopes.items():
+        print(f"{method}: {slope:.2f}")
+
+    print("\nPairwise scaling comparisons:")
+    comparisons = [
+        ("SAT", "SMT"),
+        ("SAT", "ILP"),
+        ("SMT", "ILP"),
+    ]
+
+    for a, b in comparisons:
+        va = slope_expression(a, param_names)
+        vb = slope_expression(b, param_names)
+
+        contrast = va - vb
+        test = model.t_test(contrast)
+
+        diff = slopes[a] - slopes[b]
+        p = float(test.pvalue)
+
+        if diff < 0:
+            direction = "scales better than"
+        elif diff > 0:
+            direction = "scales worse than"
+        else:
+            direction = "scales the same as"
+
+        print(
+            f"{a} vs {b}: "
+            f"Delta exponent = {diff:.2f}, "
+            f"{a} {direction} {b}, "
+            f"{format_p(p)}"
+        )
+
+    print(f"\nR_Square = {model.rsquared:.3f}")
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/sat_efficiency_results.json b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/sat_efficiency_results.json
new file mode 100644
index 00000000..9c2c5aeb
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/sat_efficiency_results.json
@@ -0,0 +1,205 @@
+[ {
+  "model" : "ewolff-kafka",
+  "variant" : 4,
+  "approachCost" : 5
+}, {
+  "model" : "ewolff-kafka",
+  "variant" : 5,
+  "approachCost" : 5
+}, {
+  "model" : "ewolff-kafka",
+  "variant" : 7,
+  "approachCost" : 11
+}, {
+  "model" : "ewolff-kafka",
+  "variant" : 8,
+  "approachCost" : 3
+}, {
+  "model" : "anilallewar",
+  "variant" : 7,
+  "approachCost" : 21
+}, {
+  "model" : "anilallewar",
+  "variant" : 8,
+  "approachCost" : 11
+}, {
+  "model" : "anilallewar",
+  "variant" : 11,
+  "approachCost" : 4
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 2,
+  "approachCost" : 8
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 4,
+  "approachCost" : 3
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 5,
+  "approachCost" : 3
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 7,
+  "approachCost" : 13
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 8,
+  "approachCost" : 14
+}, {
+  "model" : "mudigal-technologies",
+  "variant" : 11,
+  "approachCost" : 3
+}, {
+  "model" : "yidongnan",
+  "variant" : 2,
+  "approachCost" : 6
+}, {
+  "model" : "yidongnan",
+  "variant" : 4,
+  "approachCost" : 2
+}, {
+  "model" : "yidongnan",
+  "variant" : 5,
+  "approachCost" : 2
+}, {
+  "model" : "yidongnan",
+  "variant" : 7,
+  "approachCost" : 15
+}, {
+  "model" : "yidongnan",
+  "variant" : 8,
+  "approachCost" : 14
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 1,
+  "approachCost" : 0
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 2,
+  "approachCost" : 3
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 4,
+  "approachCost" : 0
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 5,
+  "approachCost" : 0
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 7,
+  "approachCost" : 0
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 8,
+  "approachCost" : 5
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 10,
+  "approachCost" : 3
+}, {
+  "model" : "koushikkothagal",
+  "variant" : 11,
+  "approachCost" : 6
+}, {
+  "model" : "spring-petclinic",
+  "variant" : 2,
+  "approachCost" : 6
+}, {
+  "model" : "spring-petclinic",
+  "variant" : 5,
+  "approachCost" : 3
+}, {
+  "model" : "spring-petclinic",
+  "variant" : 7,
+  "approachCost" : 17
+}, {
+  "model" : "spring-petclinic",
+  "variant" : 8,
+  "approachCost" : 13
+}, {
+  "model" : "callistaenterprise",
+  "variant" : 2,
+  "approachCost" : 9
+}, {
+  "model" : "callistaenterprise",
+  "variant" : 11,
+  "approachCost" : 9
+}, {
+  "model" : "jferrater",
+  "variant" : 2,
+  "approachCost" : 7
+}, {
+  "model" : "jferrater",
+  "variant" : 5,
+  "approachCost" : 0
+}, {
+  "model" : "jferrater",
+  "variant" : 7,
+  "approachCost" : 0
+}, {
+  "model" : "jferrater",
+  "variant" : 8,
+  "approachCost" : 5
+}, {
+  "model" : "apssouza22",
+  "variant" : 2,
+  "approachCost" : 9
+}, {
+  "model" : "apssouza22",
+  "variant" : 4,
+  "approachCost" : 3
+}, {
+  "model" : "apssouza22",
+  "variant" : 7,
+  "approachCost" : 13
+}, {
+  "model" : "apssouza22",
+  "variant" : 8,
+  "approachCost" : 12
+}, {
+  "model" : "sqshq",
+  "variant" : 7,
+  "approachCost" : 21
+}, {
+  "model" : "sqshq",
+  "variant" : 8,
+  "approachCost" : 17
+}, {
+  "model" : "sqshq",
+  "variant" : 10,
+  "approachCost" : 0
+}, {
+  "model" : "sqshq",
+  "variant" : 11,
+  "approachCost" : 6
+}, {
+  "model" : "georgwittberger",
+  "variant" : 2,
+  "approachCost" : 4
+}, {
+  "model" : "georgwittberger",
+  "variant" : 4,
+  "approachCost" : 4
+}, {
+  "model" : "georgwittberger",
+  "variant" : 5,
+  "approachCost" : 4
+}, {
+  "model" : "georgwittberger",
+  "variant" : 7,
+  "approachCost" : 8
+}, {
+  "model" : "georgwittberger",
+  "variant" : 8,
+  "approachCost" : 1
+}, {
+  "model" : "georgwittberger",
+  "variant" : 10,
+  "approachCost" : 3
+}, {
+  "model" : "georgwittberger",
+  "variant" : 11,
+  "approachCost" : 6
+} ]
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/sat_performance_measurements.json b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/sat_performance_measurements.json
new file mode 100644
index 00000000..43fd30f0
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/sat_performance_measurements.json
@@ -0,0 +1,2821 @@
+[ {
+  "timestamp" : "2026-04-20T14:32:48.377071Z",
+  "runId" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|0",
+  "key" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0",
+  "experiment" : "tfg_length",
+  "tfgLengthScaling" : 0.0,
+  "tfgAmountScaling" : 0.0,
+  "amountConstraint" : 1,
+  "numberWithLabel" : 1,
+  "numberWithoutLabel" : 1,
+  "numberWithCharacteristic" : 1,
+  "numberWithoutCharacteristic" : 1,
+  "numberDummyLabels" : 0,
+  "runType" : "measurement",
+  "repeatIndex" : 0,
+  "executionTime" : 14,
+  "solvingTime" : 0,
+  "isolatedExecution" : 14,
+  "status" : "ok",
+  "error" : ""
+}, {
+  "timestamp" : "2026-04-20T14:32:48.385977Z",
+  "runId" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|1",
+  "key" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0",
+  "experiment" : "tfg_length",
+  "tfgLengthScaling" : 0.0,
+  "tfgAmountScaling" : 0.0,
+  "amountConstraint" : 1,
+  "numberWithLabel" : 1,
+  "numberWithoutLabel" : 1,
+  "numberWithCharacteristic" : 1,
+  "numberWithoutCharacteristic" : 1,
+  "numberDummyLabels" : 0,
+  "runType" : "measurement",
+  "repeatIndex" : 1,
+  "executionTime" : 8,
+  "solvingTime" : 0,
+  "isolatedExecution" : 8,
+  "status" : "ok",
+  "error" : ""
+}, {
+  "timestamp" : "2026-04-20T14:32:48.393842Z",
+  "runId" : "tfg_length|tfgL=0|tfgA=0|ac=1|wl=1|wol=1|wc=1|woc=1|dummy=0|measurement|2",
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\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/sat_violation_results.json b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/sat_violation_results.json
new file mode 100644
index 00000000..0758febc
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/sat_violation_results.json
@@ -0,0 +1,441 @@
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diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/smt_efficiency_results.json b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/smt_efficiency_results.json
new file mode 100644
index 00000000..de97d233
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/smt_efficiency_results.json
@@ -0,0 +1,205 @@
+[ {
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+} ]
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/smt_performance_measurements.json b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/smt_performance_measurements.json
new file mode 100644
index 00000000..b409067d
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/smt_performance_measurements.json
@@ -0,0 +1,7621 @@
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+} ]
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.evaluation.tests/testresults/smt_violation_results.json b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/smt_violation_results.json
new file mode 100644
index 00000000..0758febc
--- /dev/null
+++ b/tests/dev.arcovia.mitigation.evaluation.tests/testresults/smt_violation_results.json
@@ -0,0 +1,441 @@
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+  "violationsAfter" : 0
+}, {
+  "modelName" : "mudigal-technologies_5",
+  "violationsBefore" : 208,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "mudigal-technologies_7",
+  "violationsBefore" : 95,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "mudigal-technologies_8",
+  "violationsBefore" : 70,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "mudigal-technologies_11",
+  "violationsBefore" : 70,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "mudigal-technologies_18",
+  "violationsBefore" : 148,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "fernandoabcampos_18",
+  "violationsBefore" : 195,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_0",
+  "violationsBefore" : 121,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_2",
+  "violationsBefore" : 72,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_3",
+  "violationsBefore" : 208,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_4",
+  "violationsBefore" : 98,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_5",
+  "violationsBefore" : 208,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_6",
+  "violationsBefore" : 146,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_7",
+  "violationsBefore" : 78,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_8",
+  "violationsBefore" : 52,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_9",
+  "violationsBefore" : 99,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "yidongnan_18",
+  "violationsBefore" : 146,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_0",
+  "violationsBefore" : 11,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_1",
+  "violationsBefore" : 18,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_2",
+  "violationsBefore" : 9,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_3",
+  "violationsBefore" : 24,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_4",
+  "violationsBefore" : 18,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_5",
+  "violationsBefore" : 24,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_6",
+  "violationsBefore" : 18,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_7",
+  "violationsBefore" : 10,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_8",
+  "violationsBefore" : 7,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_9",
+  "violationsBefore" : 11,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_10",
+  "violationsBefore" : 22,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_11",
+  "violationsBefore" : 14,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_12",
+  "violationsBefore" : 22,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "koushikkothagal_18",
+  "violationsBefore" : 18,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "rohitghatol_10",
+  "violationsBefore" : 297,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "rohitghatol_12",
+  "violationsBefore" : 297,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "rohitghatol_18",
+  "violationsBefore" : 280,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_0",
+  "violationsBefore" : 143,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_2",
+  "violationsBefore" : 137,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_3",
+  "violationsBefore" : 272,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_5",
+  "violationsBefore" : 246,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_6",
+  "violationsBefore" : 245,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_7",
+  "violationsBefore" : 110,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_8",
+  "violationsBefore" : 137,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_9",
+  "violationsBefore" : 161,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "spring-petclinic_18",
+  "violationsBefore" : 245,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_0",
+  "violationsBefore" : 197,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_2",
+  "violationsBefore" : 147,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_6",
+  "violationsBefore" : 149,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_11",
+  "violationsBefore" : 146,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "callistaenterprise_18",
+  "violationsBefore" : 298,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "ewolff_5",
+  "violationsBefore" : 86,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "ewolff_10",
+  "violationsBefore" : 64,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "ewolff_12",
+  "violationsBefore" : 64,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "ewolff_18",
+  "violationsBefore" : 74,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_0",
+  "violationsBefore" : 21,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_2",
+  "violationsBefore" : 44,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_3",
+  "violationsBefore" : 91,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_5",
+  "violationsBefore" : 84,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_6",
+  "violationsBefore" : 75,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_7",
+  "violationsBefore" : 35,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_8",
+  "violationsBefore" : 44,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_9",
+  "violationsBefore" : 57,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "jferrater_18",
+  "violationsBefore" : 102,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_0",
+  "violationsBefore" : 162,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_2",
+  "violationsBefore" : 76,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_4",
+  "violationsBefore" : 102,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_6",
+  "violationsBefore" : 95,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_7",
+  "violationsBefore" : 85,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_8",
+  "violationsBefore" : 76,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_12",
+  "violationsBefore" : 139,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "apssouza22_18",
+  "violationsBefore" : 149,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_0",
+  "violationsBefore" : 344,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_6",
+  "violationsBefore" : 203,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_7",
+  "violationsBefore" : 222,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_8",
+  "violationsBefore" : 188,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_9",
+  "violationsBefore" : 253,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_10",
+  "violationsBefore" : 354,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_11",
+  "violationsBefore" : 267,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_12",
+  "violationsBefore" : 389,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "sqshq_18",
+  "violationsBefore" : 350,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_0",
+  "violationsBefore" : 19,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_2",
+  "violationsBefore" : 13,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_3",
+  "violationsBefore" : 39,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_4",
+  "violationsBefore" : 13,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_5",
+  "violationsBefore" : 36,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_6",
+  "violationsBefore" : 30,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_7",
+  "violationsBefore" : 12,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_8",
+  "violationsBefore" : 15,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_10",
+  "violationsBefore" : 26,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_11",
+  "violationsBefore" : 21,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_12",
+  "violationsBefore" : 26,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "georgwittberger_18",
+  "violationsBefore" : 25,
+  "violationsAfter" : 0
+}, {
+  "modelName" : "mdeket_5",
+  "violationsBefore" : 191,
+  "violationsAfter" : 0
+} ]
\ No newline at end of file
diff --git a/tests/dev.arcovia.mitigation.ilp.tests/src/dev/arcovia/mitigation/ilp/tests/PerformanceEval.java b/tests/dev.arcovia.mitigation.ilp.tests/src/dev/arcovia/mitigation/ilp/tests/PerformanceEval.java
index 4ce4af2f..598ee571 100644
--- a/tests/dev.arcovia.mitigation.ilp.tests/src/dev/arcovia/mitigation/ilp/tests/PerformanceEval.java
+++ b/tests/dev.arcovia.mitigation.ilp.tests/src/dev/arcovia/mitigation/ilp/tests/PerformanceEval.java
@@ -54,7 +54,7 @@ public class PerformanceEval {
     // Output (CSV) for Jupyter
     // -----------------------------
     private static final Path OUT_DIR = Paths.get("perf-results");
-    private static final Path CSV_FILE = OUT_DIR.resolve("performance_measurements.csv");
+    private static final Path JSON_FILE = OUT_DIR.resolve("performance_measurements.json");
 
     // flush every N lines (low overhead, still crash-safe)
     private static final int FLUSH_EVERY = 3;
@@ -72,9 +72,9 @@ public void runAllExperiments() throws Exception {
         Files.createDirectories(OUT_DIR);
 
         // Load already-done runIds (so you can restart after crash/OOM)
-        Set<String> done = MeasurementWriter.loadDoneRunIds(CSV_FILE);
+        Set<String> done = MeasurementWriter.loadDoneRunIds(JSON_FILE);
 
-        try (MeasurementWriter writer = new MeasurementWriter(CSV_FILE, done, FLUSH_EVERY)) {
+        try (MeasurementWriter writer = new MeasurementWriter(JSON_FILE, done, FLUSH_EVERY)) {
             scaleTFGLength(writer);
             scaleTFGAmount(writer);
             scaleConstraints(writer);
@@ -88,8 +88,8 @@ public void runAllExperiments() throws Exception {
     @Disabled("Long-running performance experiment: run via main() to avoid timeouts and IDE issues")
     public void scaleTFGLength_test() throws Exception {
         Files.createDirectories(OUT_DIR);
-        Set<String> done = MeasurementWriter.loadDoneRunIds(CSV_FILE);
-        try (MeasurementWriter writer = new MeasurementWriter(CSV_FILE, done, FLUSH_EVERY)) {
+        Set<String> done = MeasurementWriter.loadDoneRunIds(JSON_FILE);
+        try (MeasurementWriter writer = new MeasurementWriter(JSON_FILE, done, FLUSH_EVERY)) {
             scaleTFGLength(writer);
         }
     }
@@ -98,8 +98,8 @@ public void scaleTFGLength_test() throws Exception {
     @Disabled("Long-running performance experiment: run via main() to avoid timeouts and IDE issues")
     public void scaleTFGAmount_test() throws Exception {
         Files.createDirectories(OUT_DIR);
-        Set<String> done = MeasurementWriter.loadDoneRunIds(CSV_FILE);
-        try (MeasurementWriter writer = new MeasurementWriter(CSV_FILE, done, FLUSH_EVERY)) {
+        Set<String> done = MeasurementWriter.loadDoneRunIds(JSON_FILE);
+        try (MeasurementWriter writer = new MeasurementWriter(JSON_FILE, done, FLUSH_EVERY)) {
             scaleTFGAmount(writer);
         }
     }
@@ -108,8 +108,8 @@ public void scaleTFGAmount_test() throws Exception {
     @Disabled("Long-running performance experiment: run via main() to avoid timeouts and IDE issues")
     public void scaleConstraints_test() throws Exception {
         Files.createDirectories(OUT_DIR);
-        Set<String> done = MeasurementWriter.loadDoneRunIds(CSV_FILE);
-        try (MeasurementWriter writer = new MeasurementWriter(CSV_FILE, done, FLUSH_EVERY)) {
+        Set<String> done = MeasurementWriter.loadDoneRunIds(JSON_FILE);
+        try (MeasurementWriter writer = new MeasurementWriter(JSON_FILE, done, FLUSH_EVERY)) {
             scaleConstraints(writer);
         }
     }
@@ -176,7 +176,7 @@ private void scaleConstraints(MeasurementWriter writer) {
 
         // all together
         for (int s : CONSTRAINT_SCALINGS) {
-            int half = s / 2;
+            int half = (s + 1) / 2;
             runConstraintCase(writer, numberDummyLabels, "constraints_allTogether", s, half, half, half, half);
         }
     }
diff --git a/tests/dev.arcovia.mitigation.ilp.tests/src/dev/arcovia/mitigation/ilp/tests/RemoveFlowTest.java b/tests/dev.arcovia.mitigation.ilp.tests/src/dev/arcovia/mitigation/ilp/tests/RemoveFlowTest.java
index f32f638a..172dca1f 100644
--- a/tests/dev.arcovia.mitigation.ilp.tests/src/dev/arcovia/mitigation/ilp/tests/RemoveFlowTest.java
+++ b/tests/dev.arcovia.mitigation.ilp.tests/src/dev/arcovia/mitigation/ilp/tests/RemoveFlowTest.java
@@ -12,7 +12,6 @@
 
 import dev.arcovia.mitigation.ilp.OptimizationManager;
 import dev.arcovia.mitigation.sat.Label;
-import dev.arcovia.mitigation.sat.NodeLabel;
 import dev.arcovia.mitigation.sat.OutgoingDataLabel;
 import dev.arcovia.mitigation.ilp.Constraint;
 import dev.arcovia.mitigation.ilp.MitigationStrategy;
diff --git a/tests/dev.arcovia.mitigation.sat.tests/src/dev/arcovia/mitigation/sat/tests/PerformanceEval.java b/tests/dev.arcovia.mitigation.sat.tests/src/dev/arcovia/mitigation/sat/tests/PerformanceEval.java
index f9f222bf..6d9b9bdc 100644
--- a/tests/dev.arcovia.mitigation.sat.tests/src/dev/arcovia/mitigation/sat/tests/PerformanceEval.java
+++ b/tests/dev.arcovia.mitigation.sat.tests/src/dev/arcovia/mitigation/sat/tests/PerformanceEval.java
@@ -59,7 +59,7 @@ public class PerformanceEval {
     // Output (CSV) for Jupyter
     // -----------------------------
     private static final Path OUT_DIR = Paths.get("perf-results");
-    private static final Path CSV_FILE = OUT_DIR.resolve("performance_measurements.csv");
+    private static final Path JSON_FILE = OUT_DIR.resolve("performance_measurements.json");
 
     // flush every N lines (low overhead, still crash-safe)
     private static final int FLUSH_EVERY = 3;
@@ -77,9 +77,9 @@ public void runAllExperiments() throws Exception {
         Files.createDirectories(OUT_DIR);
 
         // Load already-done runIds (so you can restart after crash/OOM)
-        Set<String> done = MeasurementWriter.loadDoneRunIds(CSV_FILE);
+        Set<String> done = MeasurementWriter.loadDoneRunIds(JSON_FILE);
 
-        try (MeasurementWriter writer = new MeasurementWriter(CSV_FILE, done, FLUSH_EVERY)) {
+        try (MeasurementWriter writer = new MeasurementWriter(JSON_FILE, done, FLUSH_EVERY)) {
             scaleTFGLength(writer);
             scaleTFGAmount(writer);
             scaleConstraints(writer);
@@ -93,8 +93,8 @@ public void runAllExperiments() throws Exception {
     @Disabled("Long-running performance experiment: run via main() to avoid timeouts and IDE issues")
     public void scaleTFGLength_test() throws Exception {
         Files.createDirectories(OUT_DIR);
-        Set<String> done = MeasurementWriter.loadDoneRunIds(CSV_FILE);
-        try (MeasurementWriter writer = new MeasurementWriter(CSV_FILE, done, FLUSH_EVERY)) {
+        Set<String> done = MeasurementWriter.loadDoneRunIds(JSON_FILE);
+        try (MeasurementWriter writer = new MeasurementWriter(JSON_FILE, done, FLUSH_EVERY)) {
             scaleTFGLength(writer);
         }
     }
@@ -103,8 +103,8 @@ public void scaleTFGLength_test() throws Exception {
     @Disabled("Long-running performance experiment: run via main() to avoid timeouts and IDE issues")
     public void scaleTFGAmount_test() throws Exception {
         Files.createDirectories(OUT_DIR);
-        Set<String> done = MeasurementWriter.loadDoneRunIds(CSV_FILE);
-        try (MeasurementWriter writer = new MeasurementWriter(CSV_FILE, done, FLUSH_EVERY)) {
+        Set<String> done = MeasurementWriter.loadDoneRunIds(JSON_FILE);
+        try (MeasurementWriter writer = new MeasurementWriter(JSON_FILE, done, FLUSH_EVERY)) {
             scaleTFGAmount(writer);
         }
     }
@@ -113,8 +113,8 @@ public void scaleTFGAmount_test() throws Exception {
     @Disabled("Long-running performance experiment: run via main() to avoid timeouts and IDE issues")
     public void scaleConstraints_test() throws Exception {
         Files.createDirectories(OUT_DIR);
-        Set<String> done = MeasurementWriter.loadDoneRunIds(CSV_FILE);
-        try (MeasurementWriter writer = new MeasurementWriter(CSV_FILE, done, FLUSH_EVERY)) {
+        Set<String> done = MeasurementWriter.loadDoneRunIds(JSON_FILE);
+        try (MeasurementWriter writer = new MeasurementWriter(JSON_FILE, done, FLUSH_EVERY)) {
             scaleConstraints(writer);
         }
     }
@@ -187,7 +187,7 @@ private void scaleConstraints(MeasurementWriter writer) {
 
         // all together
         for (int s : CONSTRAINT_SCALINGS_AMOUNT) {
-            int half = s / 2;
+            int half = (s + 1) / 2;
             runConstraintCase(writer, numberDummyLabels, "constraints_allTogether", s, half, half, half, half);
         }
     }
diff --git a/tests/dev.arcovia.mitigation.smt.tests/META-INF/MANIFEST.MF b/tests/dev.arcovia.mitigation.smt.tests/META-INF/MANIFEST.MF
index 82310f54..04178ca9 100644
--- a/tests/dev.arcovia.mitigation.smt.tests/META-INF/MANIFEST.MF
+++ b/tests/dev.arcovia.mitigation.smt.tests/META-INF/MANIFEST.MF
@@ -26,3 +26,4 @@ Require-Bundle:
  tools.mdsd.library.standalone.initialization,
  com.google.guava,
  dev.arcovia.mitigation.sat
+Automatic-Module-Name: dev.arcovia.mitigation.smt.tests
diff --git a/tests/dev.arcovia.mitigation.smt.tests/src/dev/arcovia/mitigation/smt/tests/evaluation/ConstraintMapProvider.java b/tests/dev.arcovia.mitigation.smt.tests/src/dev/arcovia/mitigation/smt/tests/evaluation/ConstraintMapProvider.java
index 5343fd78..7f982a70 100644
--- a/tests/dev.arcovia.mitigation.smt.tests/src/dev/arcovia/mitigation/smt/tests/evaluation/ConstraintMapProvider.java
+++ b/tests/dev.arcovia.mitigation.smt.tests/src/dev/arcovia/mitigation/smt/tests/evaluation/ConstraintMapProvider.java
@@ -7,7 +7,6 @@
 
 import org.dataflowanalysis.analysis.dsl.AnalysisConstraint;
 import org.dataflowanalysis.analysis.dsl.constraint.ConstraintDSL;
-import org.junit.jupiter.api.Test;
 
 public final class ConstraintMapProvider {
 
diff --git a/tests/dev.arcovia.mitigation.smt.tests/src/dev/arcovia/mitigation/smt/tests/evaluation/EvaluationSupport.java b/tests/dev.arcovia.mitigation.smt.tests/src/dev/arcovia/mitigation/smt/tests/evaluation/EvaluationSupport.java
index db2b455f..cf36dfbb 100644
--- a/tests/dev.arcovia.mitigation.smt.tests/src/dev/arcovia/mitigation/smt/tests/evaluation/EvaluationSupport.java
+++ b/tests/dev.arcovia.mitigation.smt.tests/src/dev/arcovia/mitigation/smt/tests/evaluation/EvaluationSupport.java
@@ -7,7 +7,6 @@
 
 import org.dataflowanalysis.analysis.dsl.AnalysisConstraint;
 import org.dataflowanalysis.examplemodels.TuhhModels;
-import org.junit.jupiter.api.Test;
 
 import com.fasterxml.jackson.core.type.TypeReference;
 import com.fasterxml.jackson.databind.ObjectMapper;
diff --git a/tests/pom.xml b/tests/pom.xml
index 21efcece..74e682f2 100644
--- a/tests/pom.xml
+++ b/tests/pom.xml
@@ -16,6 +16,7 @@
 		<module>dev.arcovia.mitigation.sat.tests</module>
 		<module>dev.arcovia.mitigation.ilp.tests</module>
 		<module>dev.arcovia.mitigation.smt.tests</module>
+		<module>dev.arcovia.mitigation.evaluation.tests</module>
 		<module>dev.arcovia.mitigation.ranking.tests</module>
 	</modules>