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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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SONAR: Task-Aware Code Summary Evaluation for LLM Consumers Without References
SONAR evaluates code summaries without reference summaries by regenerating code from the summary, and shows that only correctness and abstraction strongly predict LLM performance on downstream software engineering tasks.
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