55 / 62 · 22 Test Strategy & Quality Metrics · Quality Trends and Forecasting← prev⊞ allnext →☰ Read as one page
7.3Predicting Release Readiness
The Release Readiness Score
A composite metric that combines multiple quality indicators into a single go/no-go signal.
Release Readiness Score = Weighted Average of:
- Test pass rate (weight: 3)
- Critical bug count = 0 (weight: 5)
- Requirement coverage (weight: 3)
- Performance benchmarks met (weight: 2)
- Security scan passed (weight: 4)
Example:
Test pass rate: 98% (3 x 0.98 = 2.94)
Critical bugs: 0 (5 x 1.0 = 5.00)
Requirement coverage: 95% (3 x 0.95 = 2.85)
Performance: Met (2 x 1.0 = 2.00)
Security: Passed (4 x 1.0 = 4.00)
Score = (2.94 + 5.00 + 2.85 + 2.00 + 4.00) / (3 + 5 + 3 + 2 + 4)
= 16.79 / 17
= 98.8%
Threshold: > 90% = GREEN, 75-90% = YELLOW, < 75% = RED
Predicting When You Will Be Ready
If you are not yet at the threshold, you can use the trend to predict when you will be:
Current release readiness: 72% (YELLOW)
Improvement rate: +4% per day (based on last 5 days)
Target: 90%
Gap: 18%
Predicted ready date: 18 / 4 = 4.5 days from now
If release is in 3 days: NOT READY unless acceleration occurs
If release is in 5 days: LIKELY READY with current pace