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Automated Test Generation from Program Documentation Encoded in Code Comments

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arxiv 2504.21161 v1 pith:WBDPUQBL submitted 2025-04-29 cs.SE

classification cs.SE
keywords testbehaviorscommentsgenerationsoftwarecodedocumentationaddress
verification ladder T0 review T1 audit T2 compute T3 formal

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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

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. SONAR: Task-Aware Code Summary Evaluation for LLM Consumers Without References

    cs.SE 2026-08 conditional novelty 7.0 of 10

    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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