Quality Assurance Metrics

Quality Assurance (QA) metrics and KPIs help assess the effectiveness of testing processes, defect management, and overall software quality.

1. Test Coverage Metrics

  • Code Coverage – The percentage of the code executed during automated tests (unit, integration, system tests).
  • Requirement Coverage – The percentage of requirements covered by test cases.
  • Test Case Coverage – The percentage of test cases executed out of the total planned.

2. Defect Management Metrics

  • Defect Density – Number of defects per thousand lines of code (KLOC), indicating software stability.

  • Defect Leakage – Percentage of defects found in production versus total defects found during testing.

    Formula:

Defect Leakage=(Defects found in productionTotal defects found in testing)×100\text{Defect Leakage} = \left( \frac{\text{Defects found in production}}{\text{Total defects found in testing}} \right) \times 100

  • Defect Removal Efficiency (DRE) – Measures how effectively defects are caught during testing.

    Formula:

DRE=(Defects found before releaseTotal defects found (before + after release))×100\text{DRE} = \left( \frac{\text{Defects found before release}}{\text{Total defects found (before + after release)}} \right) \times 100
  • Defect Severity Index – Tracks the impact of defects based on severity levels (critical, major, minor).
  • Reopened Defects – The number of defects that were marked as fixed but reoccurred, indicating testing effectiveness.

3. Test Execution Metrics

  • Test Pass Rate – The percentage of passed test cases compared to the total executed.
  • Test Fail Rate – The percentage of failed test cases out of the total executed.
  • Test Case Effectiveness – Percentage of test cases that detected defects, measuring how well tests identify issues.
  • Blocked Test Cases – Number of test cases that could not be executed due to unresolved issues.

4. Automation & Efficiency Metrics

  • Test Automation Coverage – Percentage of test cases automated versus total test cases.
  • Test Execution Time – The total time taken to execute tests, useful for optimizing automation.
  • Mean Time to Detect (MTTD) – The average time taken to identify a defect after it is introduced.
  • Mean Time to Resolve (MTTR) – The average time taken to fix and verify a defect after detection.
Created: June 2, 2026Last modified: June 2, 2026