🎯 Testability Assessment Report

Comprehensive analysis using 10 principles of intrinsic testability

78/100
C

📊 Grade Distribution

2 Grade A
3 Grade B
2 Grade C
2 Grade D
1 Grade F

📈 Testability Radar

🎯 Principle Scores

Observability
✓
92 A
Controllability
✓
85 B
Algorithmic Simplicity
✓
75 C
Algorithmic Transparency
⚠️
60 D
Explainability
⚠️
60 D
Similarity
✓
85 B
Algorithmic Stability
✓
70 C
Unbugginess
✓
85 B
Smallness
✓
100 A
Decomposability
⚠️
50 F

💡 AI-Powered Recommendations

Top 6 recommendations prioritized by impact and effort

🔴 Decomposability high
Extract product catalog, shopping cart, and checkout into separate microservices for better isolation and testability.
Expected Impact: +30 points improvement
Effort: High (16-24 hours)
🔴 Explainability medium
Document API contracts, add OpenAPI specifications, and improve error message clarity for checkout process.
Expected Impact: +25 points improvement
Effort: Medium (6-8 hours)
🔴 Explainability medium
Improve semantic HTML usage and add descriptive ARIA labels. Ensure all interactive elements have clear, accessible names and purposes.
Expected Impact: +2 points improvement
Effort: Low (4-8 hours)
🟡 Algorithmic Transparency high
Expose more application state through data attributes, ARIA labels, or debug APIs. Make internal states and processes visible for testing.
Expected Impact: +1 points improvement
Effort: Medium (8-12 hours)
🟡 Algorithmic Stability high
Reduce dynamic content and async operations. Add loading indicators and stable element selectors to improve test reliability.
Expected Impact: +1 points improvement
Effort: Medium (8-12 hours)
🟢 Decomposability high
Refactor monolithic components into smaller, independent modules. Use component-based architecture for better isolation and testability.
Expected Impact: +1 points improvement
Effort: High (16-24 hours)

📝 Summary

Good testability with room for improvement. Your application has solid fundamentals but could benefit from addressing the recommendations above.

Next Steps:
  1. Review and prioritize the recommendations above
  2. Implement critical and high-priority fixes first
  3. Re-run assessment after improvements
  4. Track progress over time