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cs.SE2026
The Hitchhiker's Guide to Program Analysis, Part III: Mostly Harmless LLMs
Haonan Li, Tianyang Zhou, Manu Sridharan +2
Filtering out a static-analysis warning asserts that no feasible execution can trigger the reported error, whereas confirming a bug requires only one that does. Recent work uses LL…
cs.SE2026
A Large-Scale Comprehensive Measurement of AI-Generated Code in Real-World Repositories
Tianhao Mao, Dongfang Zhao, Haixu Tang +2
Large language models (LLMs) are rapidly transforming software engineering by enabling developers to generate code ranging from small snippets to entire projects. As AI-assisted co…