Skip to content

Latest commit

 

History

History
57 lines (44 loc) · 2.47 KB

File metadata and controls

57 lines (44 loc) · 2.47 KB

Research: First Principles Validation (RQ1)

Research Question

What is the minimal complete set of first principles needed to evaluate the quality of a software artifact?

For each candidate principle, it must:

  1. Be grounded in a domain outside software
  2. Produce unique findings that no other principle catches
  3. Be expressible as a single yes/no question

Additionally: some principles evaluate the artifact, while others evaluate the process of evaluation. Identify which is which.

Findings

Independent analysis derived 7 principles in two categories:

Artifact Principles (4)

Principle Root Domain Question
Information Entropy Physics Can an isolated change be made in one boundary?
Membrane Permeability Biology Does it neutralize inputs violating invariants?
Requisite Variety Cybernetics Does every input map to a defined output?
Thermodynamic Efficiency Physics Is resource use proportional to work?

Meta-Evaluation Principles (3)

Principle Root Domain Question
Falsifiability Philosophy Is the finding objective or opinion?
Bounded Rationality Economics Does the evaluator have full context?
Calibration Metrology Would another reviewer reach the same conclusion?

Impact on Diffract

Research Finding Diffract Change
Requisite Variety confirmed as distinct Added 🎯 Variety lens
Thermodynamic Efficiency confirmed as distinct Added ⚡ Efficiency lens
Membrane Permeability sharpened Shield Upgraded 🛡️ Shield question
Falsifiability + Calibration strengthened Integrity Upgraded ⚖️ Integrity governor
Bounded Rationality strengthened Compass Upgraded 🧭 Compass governor

Unique Diffract Additions Not Found in Research

The research model, while rigorous, missed several principles that produce unique findings in practice:

Diffract Lens Why It's Unique
🗑️ Subtract Research assumes things should exist; Subtract asks "should this exist at all?"
✂️ Simplify Research measures structural entropy; Simplify measures unnecessary complexity in ordered systems
🏷️ Name Research catches structural naming issues; Name catches semantic accuracy
🔍 Observability Research ensures all states are handled (Variety); Observability ensures they are reported