Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large? SELECT…

A . Identifying suitable tests by looking at the complexity of the test cases.

While complexity analysis can help in selecting important test cases, it does not directly address the

issue of optimizing the entire regression suite effectively.

B . Using a random subset of tests.

Randomly selecting test cases may miss critical tests and does not ensure an optimized regression

suite. This approach lacks a systematic method for ensuring comprehensive coverage.

C . Automating test scripts using AI-based test automation tools.

Automation helps in running tests efficiently but does not inherently optimize the selection of tests

to prevent the suite from growing too large.

D . Using an AI-based tool to optimize the regression test suite by analyzing past test results.

This is the most effective approach as AI-based tools can analyze historical test data, identify

patterns, and prioritize tests that are more likely to catch defects based on past results. This method

ensures an optimized and manageable regression test suite by focusing on the most impactful test

cases.

Therefore, the correct answer is D because using an AI-based tool to analyze past test results is the

best option to optimize regression test selection and manage the size of the regression suite

effectively​​.