Part IV—Formal Methods and Quantitative Analysis
Application of Formal Methods
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Generate Formal Specs (TLA+/Alloy etc.) from natural language requirements
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Verify if generated code meets specs via Symbolic Execution / Model Checking / Proof Assistants
Effectiveness Metrics (Avoid Vanity)
| Category | Metrics | Purpose |
|---|---|---|
| Quality | Defect Rate Post-Review | Most important outcome |
| Quality | Critical Issue Detection Rate | Grasp severity of security/performance |
| Quality | Code Churn | Diagnose requirement/review quality via short-term fix rate |
| Velocity | Review Cycle Time | Visualize bottlenecks |
| Velocity | Time to First Review | Responsiveness |
| Process | False Negative/Positive Rate, Override Rate | Learning indicator for AI adaptability |
Dashboard output collected in CI -> Schematized in
reference/enhances reproducibility.