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Automated Test Generation from Program Documentation Encoded in Code Comments
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Automated Test Generation from Program Documentation Encoded in Code Comments
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Documenting the functionality of software units with code comments, e.g., Javadoc comments, is a common programmer best-practice in software engineering. This paper introduces a novel test generation technique that exploits the code-comment documentation constructively. We originally address those behaviors as test objectives, which we pursue in search-based fashion. We deliver test cases with names and oracles properly contextualized on the target behaviors. Our experiments against a benchmark of 118 Java classes indicate that the proposed approach successfully tests many software behaviors that may remain untested with coverage-driven test generation approaches, and distinctively detects unknown failures.
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Cited by 1 Pith paper
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Beyond Coverage and Kill Scores: Empirically Measuring Test Suite Behavioural Gaps
An empirical study extracts 20,729 expected behaviors from ten Java libraries and finds 17.5% remain untested, independent of line coverage and mutation scores.
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