An empirical analysis of 1,000 GitHub repositories finds 118 AI policies where 78% allow GenAI contributions, 51% require disclosure, and 74% mandate human oversight.
Large language models for software engineering: Survey and open problems
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A conceptual taxonomy structures AI-assisted test cases by goal, claim, reason, and evidence to capture and assess the argumentation supporting each test design decision.
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AI Policy, Disclosure, and Human in the Loop: How Are Contribution Guidelines Adapting to GenAI?
An empirical analysis of 1,000 GitHub repositories finds 118 AI policies where 78% allow GenAI contributions, 51% require disclosure, and 74% mandate human oversight.
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Test Design and Review Argumentation in AI-Assisted Test Generation
A conceptual taxonomy structures AI-assisted test cases by goal, claim, reason, and evidence to capture and assess the argumentation supporting each test design decision.