Merlin generates CodeQL queries from natural language questions via RAG-based iteration and a self-test technique using assistive queries, achieving 3.8x higher task accuracy and 31% less completion time in user studies while finding additional software issues.
LaToza and Brad A
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ARGUS extracts fragmented code change rationales from multiple documents using LLMs and generates summaries that developers rate as useful for review and maintenance.
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Generating Complex Code Analyzers from Natural Language Questions
Merlin generates CodeQL queries from natural language questions via RAG-based iteration and a self-test technique using assistive queries, achieving 3.8x higher task accuracy and 31% less completion time in user studies while finding additional software issues.
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Fine-grained Multi-Document Extraction and Generation of Code Change Rationale
ARGUS extracts fragmented code change rationales from multiple documents using LLMs and generates summaries that developers rate as useful for review and maintenance.