Software Testing Metrics

 Test metrics play a crucial role in software testing by providing quantitative and qualitative insights into the testing process and the quality of the software being developed. 

Why do we need Test Metrics?

Performance Measurement:

Test metrics help measure the performance and progress of the testing process. They provide data on test execution, test coverage, and defect status, allowing teams to assess their efficiency.

Quality Assessment:

Metrics such as defect density, defect leakage, and defect rejection ratio help assess the quality of the software. These metrics provide insights into the effectiveness of the testing process and identify areas that need improvement.

Resource Management:

Test metrics assist in resource management by helping teams understand how efficiently resources are utilized during testing. This includes tracking the number of executed, passed, and failed test cases, allowing teams to optimize their testing efforts.

Risk Identification:

Metrics highlight potential risks and issues in the software development and testing process. For example, a high defect density may indicate areas with a higher risk of defects, enabling teams to focus on critical areas.

Decision Making:

Test metrics provide data-driven insights for decision-making. Project managers, QA leads, and other stakeholders can make informed decisions based on metrics such as test coverage, defect trends, and test execution status.

Continuous Improvement:

Metrics are valuable for continuous improvement. By analyzing historical data, teams can identify patterns, trends, and areas for improvement in the testing process. This leads to more effective and efficient testing practices over time.

Communication and Reporting:

Metrics serve as a communication tool for various stakeholders. They provide a standardized way to communicate the status of testing efforts, allowing for transparent reporting and facilitating collaboration among team members.

Benchmarking:

Test metrics can be used for benchmarking against industry standards or best practices. By comparing metrics with established benchmarks, teams can identify areas where they excel and areas that may need improvement.

Goal Alignment:

Metrics help align testing activities with project goals and objectives. By tracking progress against predefined metrics, teams can ensure that testing efforts are aligned with the overall project and quality assurance objectives.

Efficiency Improvement:

Test metrics highlight bottlenecks, inefficiencies, or areas of improvement in the testing process. This allows teams to implement corrective actions and optimize their testing strategies for better efficiency.

SOFTWARE TESTING METRICS

1. % of Test Cases Executed:

   • $\frac{\text{No. of Test Cases Executed}}{\text{Total No. of Test Cases Written}}\times 100$

2. 
   

3. % of Test Cases NOT Executed:

4. • $\frac{\text{No. of Test Cases NOT Executed}}{\text{Total No. of Test Cases Written}}\times 100$

5. 
   

6. % Test Cases Passed:

   • $\frac{\text{No. of Test Cases Passed}}{\text{Total Test Cases Executed}}\times 100$

7. 
   

8. % Test Cases Failed:

   • $\frac{\text{No. of Test Cases Failed}}{\text{Total Test Cases Executed}}\times 100$

9. 
   

10. % Test Cases Blocked:

    • $\frac{\text{No. of Test Cases Blocked}}{\text{Total Test Cases Executed}}\times 100$

11. 
    

12. Defect Density:

    • $\frac{\text{No. of Defects Found}}{\text{Size (No. of Requirements)}}$

13. 
    

14. Defect Removal Efficiency (DRE):

    • $\frac{\text{Fixed Defects}}{\text{Fixed Defects + Missed Defects}}\times 100$
      • 
        
      • A: Defects identified during testing or fixed
      • B: Defects identified by the customer or missed

15. 
    

16. Defect Leakage:

    • $\frac{\text{No. of Defects Found in UAT}}{\text{No. of Defects Found in Testing}}\times 100$

17. 
    

18. Defect Rejection Ratio:

    • $\frac{\text{No. of Defects Rejected}}{\text{Total No. of Defects Raised}}\times 100$

19. 
    

20. Defect Age:

    • Fixed Date - Reported Date

21. Customer Satisfaction:

22. • Measured by the number of complaints per period of time.