Testing Metrics
Testing metrics provide insights into the effectiveness and efficiency of your testing processes.
1. Test Case Pass/Fail Rate
Description: The percentage of test cases that pass or fail during testing.
Formula:
Pass Rate = (Number of passed test cases / Total number of test cases) * 100% Fail Rate = (Number of failed test cases / Total number of test cases) * 100%
Additional Information:
- High pass rate indicates software quality.
- Fail rates help identify problem areas.
- It’s essential to track pass/fail rates over time.
2. Defect Density
Description: The number of defects found per unit of code.
Formula:
Defect Density = Number of defects / Size of code (e.g., lines of code)
Additional Information:
- Lower defect density indicates higher code quality.
- It helps compare the quality of different code modules.
- It can be used to track quality improvements.
3. Test Coverage (Testing)
Description: Measures how much of the application has been tested.
Formula:
- This is the same as code coverage, but in testing it is used to measure the applications features that have been tested.
Additional Information:
- Helps to ensure all areas of the application are tested.
- Important for regression testing.
4. Mean Time To Failure (MTTF)
Description: The average time a system operates before failing.
Formula:
MTTF = Total uptime / Number of failures
Additional Information:
- High MTTF indicates system reliability.
- It’s crucial for critical systems.
- It helps plan maintenance and upgrades.
5. Mean Time To Recovery (MTTR)
Description: The average time it takes to restore a system after a failure.
Formula:
MTTR = Total downtime / Number of failures
Additional Information:
- Low MTTR indicates efficient recovery processes.
- It’s crucial for minimizing downtime.
- It helps assess the effectiveness of incident response.