Metrics Throughout the Software Lifecycle — Word Document Version
1. Title Page
Metrics Across the Software Development Lifecycle (SDLC)
Driving quality, predictability, and continuous improvement
2. Why Metrics Matter

Enable data-driven decisions

Improve delivery predictability

Enhance product quality

Support continuous improvement culture
3. SDLC Stages & Metric Categories

Requirements

Design

Development

Testing

Deployment

Maintenance
Each stage uses metrics to ensure visibility, quality, and control.
4. Requirements Phase Metrics

Requirements stability index

Requirements volatility

Stakeholder satisfaction

% Requirements clarified vs. pending
5. Design Phase Metrics

Design review coverage

Architecture compliance score

Reusability index

Defects found during design reviews
6. Development Phase Metrics

Code quality (static analysis scores)

Code churn

Velocity / Story points completed

Defect density

Build success rate
7. Testing Phase Metrics

Test coverage

Defect detection rate

Defect leakage

Mean time to detect (MTTD)

Test execution progress
8. Deployment & Release Metrics

Deployment frequency

Change failure rate

Mean time to recovery (MTTR)

Release readiness score

Rollback rate
9. Maintenance & Support Metrics

Production incident count

Mean time to acknowledge (MTTA)

Customer-reported defects

SLA compliance

Technical debt index
10. Bringing It All Together

Metrics must be actionable, not just collected

Align metrics with business outcomes

Use dashboards for transparency

Foster a culture of continuous improvement