Essential Metrics for SQA's

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Essential Metrics for SQA's


SQA Metrics Report

Why Metrics are important?

The purpose of software testing metrics is to increase the efficiency and effectiveness of the software testing process while also assisting in making better decisions for future testing by providing accurate data about the testing process.

As well we should know that may vary depending on the organization, project, and industry, here are some top SQA metrics that you should consider:

Defect Density

This metric helps companies analyze the performance of their products, software and modules, divided by the size or lines of code of that component. It helps in understanding the quality of the code and identifying areas with higher defect rates 

Defect Density Example

  • Most teams calculate defect density as the number of defects per thousand lines of code (KLOC). A real-world example - if you find 15 bugs in 25,000 lines of code. The defect density will be (15x1000) ÷ 2500 = 0.6 per KLOC.

Test Coverage

Test coverage measures the extent to which the software has been tested by determining the percentage of code or requirements covered by tests. It provides insight into the thoroughness of testing efforts and identifies areas that lack sufficient testing.

Test Coverage Example

  • If you have 10,000 lines of code, your test cases should be able to test the entire codebase. If only 5,000 lines of code are tested out of 10,000, the coverage is 50%

Test Case Effectiveness

This metric evaluates the efficiency and effectiveness of test cases by measuring the percentage of test cases that detect defects. It helps assess the value and accuracy of the test cases and identifies areas for improvement.

Time to Fix Defects

This metric measures the average time taken to fix reported defects from the moment they are identified. It reflects the efficiency of the development and defect resolution process and helps in identifying bottlenecks.

Defect Rejection Rate

This metric calculates the percentage of defects that are rejected during the review process or by the testing team. It reflects the effectiveness of the defect identification process and the quality of the software being reviewed.