CASCADE finds code-documentation mismatches by running LLM-generated tests from docs and confirming failure only when documentation-derived code succeeds on the same test.
Automatic code summarization: A systematic literature review
4 Pith papers cite this work. Polarity classification is still indexing.
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SWD-Bench evaluates repo-level docs through functionality detection, localization, and completion QA tasks on 4170 entries from PRs, showing best docs raise SWE-Agent issue-solving rate by 20%.
A multi-agent bottom-up framework (summarizer + keyword extractor + QA) improves hierarchical code-summary consistency by ~8% and normalized keyword coverage by up to 38% over structured prompting baselines.
A systematic review that categorizes prompting strategies for LLM-based code summarization, assesses their effectiveness, and identifies gaps in research and evaluation practices.
citing papers explorer
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CASCADE: Detecting Inconsistencies between Code and Documentation with Automatic Test Generation
CASCADE finds code-documentation mismatches by running LLM-generated tests from docs and confirming failure only when documentation-derived code succeeds on the same test.
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Evaluating Repository-level Software Documentation via Question Answering and Feature-Driven Development
SWD-Bench evaluates repo-level docs through functionality detection, localization, and completion QA tasks on 4170 entries from PRs, showing best docs raise SWE-Agent issue-solving rate by 20%.
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Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases
A multi-agent bottom-up framework (summarizer + keyword extractor + QA) improves hierarchical code-summary consistency by ~8% and normalized keyword coverage by up to 38% over structured prompting baselines.
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Prompt-Driven Code Summarization: A Systematic Literature Review
A systematic review that categorizes prompting strategies for LLM-based code summarization, assesses their effectiveness, and identifies gaps in research and evaluation practices.