RAG reaches 0.66 weighted F1 on invalid bug report subclassification while agentic web search reaches 68.9% judge success on no-code fix generation, using a new gold-standard benchmark.
Automated classification of software issue reports using machine learning techniques: an empirical study,
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Automated Root-Cause Subclassification and No-Code Fix Generation for Invalid Bug Reports
RAG reaches 0.66 weighted F1 on invalid bug report subclassification while agentic web search reaches 68.9% judge success on no-code fix generation, using a new gold-standard benchmark.