Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering
Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering explores This paper proposes guidelines and a proof-of-concept for reproducible and explainable evaluations of AI agents in software engineering by making agent trajectories publicly accessible.. Commercial viability score: 4/10 in Agents.
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