📊 Grade Distribution
2
Grade A
1
Grade B
5
Grade C
2
Grade D
0
Grade F
📈 Testability Radar
🎯 Principle Scores
Observability
67
D
Controllability
70
C
Algorithmic Simplicity
75
C
Algorithmic Transparency
60
D
Explainability
75
C
Similarity
85
B
Algorithmic Stability
70
C
Unbugginess
95
A
Smallness
100
A
Decomposability
70
C
💡 AI-Powered Recommendations
Top 4 recommendations prioritized by impact and effort
🔴
Observability
medium
Implement detailed event logging for user actions, cart operations, and payment processing.
Expected Impact:
+15 points improvement
Effort: Low (4-6 hours)
🔴
Observability
high
Add comprehensive data-test attributes to all interactive elements and implement state monitoring APIs for better test visibility.
Expected Impact:
+2 points improvement
Effort: Medium (8-12 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)
📝 Summary
Good testability with room for improvement. Your application has solid fundamentals but could benefit from addressing the recommendations above.
Next Steps:
- Review and prioritize the recommendations above
- Implement critical and high-priority fixes first
- Re-run assessment after improvements
- Track progress over time