Abstract
Strong test suites ensure the correctness and quality of software. Coverage and Mutation score are widespread metrics for evaluating the quality of a test suite. Mutation analysis process improves a test suite to obtain higher coverage scores. We investigate the correlation between the mutation score and coverage scores (branch, statement, method and class) based on an open source program with a comprehensive pool of test cases and analyse the result sets using Atlassian Clover[2] and PIT[1]. Our experimental study has shown that mutation analysis can be used to produce quality test cases and to improve coverage scores in a feasible amount of time.
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