A systematic mapping of 97 papers finds growing research on commit messages for bug analysis and fix identification, mainly combined with code diffs via repository mining and AI/ML, with developers as primary stakeholders, though messages frequently lack key details.
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An empirical study of real-world issues yields a taxonomy of 34 fault types, symptoms, and root causes in agentic AI systems, validated by 145 practitioners.
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On the Use of Commit Messages for Corrective Software Maintenance: A Systematic Mapping Study
A systematic mapping of 97 papers finds growing research on commit messages for bug analysis and fix identification, mainly combined with code diffs via repository mining and AI/ML, with developers as primary stakeholders, though messages frequently lack key details.
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Characterizing Faults in Agentic AI: A Taxonomy of Types, Symptoms, and Root Causes
An empirical study of real-world issues yields a taxonomy of 34 fault types, symptoms, and root causes in agentic AI systems, validated by 145 practitioners.