📊 Grade Distribution
2
Grade A
2
Grade B
5
Grade C
1
Grade D
0
Grade F
📈 Testability Radar
🎯 Principle Scores
Observability
92
A
Controllability
75
C
Algorithmic Simplicity
75
C
Algorithmic Transparency
60
D
Explainability
75
C
Similarity
85
B
Algorithmic Stability
70
C
Unbugginess
93
A
Smallness
85
B
Decomposability
70
C
💡 AI-Powered Recommendations
Top 2 recommendations prioritized by impact and effort
🔴
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