What is one method Test Analysts can use to measure the effectiveness of test data?

Tracking detected defects against expected results is a critical method for Test Analysts to measure the effectiveness of test data. This approach provides insights into how well the test data is serving its purpose in revealing issues within the software. By comparing the defects that are actually detected during testing with the expected results, Test Analysts can assess whether the test data is relevant, comprehensive, and well-designed.

If the number of detected defects closely aligns with expected results, it indicates that the test data is effective in exercising the application and identifying potential issues. Conversely, if there is a significant disparity, it suggests that the test data may not cover all necessary scenarios or might not be appropriately structured, prompting a need for review and improvement.

Incorporating this method helps ensure that testing is robust and that the test environment truly reflects real-world conditions, ultimately contributing to higher software quality.