9 citations · 13 across the 3 of their papers we have counts for
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cs.SE2025
EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair
Fangwen Mu, Junjie Wang, Lin Shi +3
Automatically repairing software issues remains a fundamental challenge at the intersection of software engineering and AI. Although recent advances in Large Language Models (LLMs)…
cs.SE2023★ 9 cited
ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification
Fangwen Mu, Lin Shi, Song Wang +5
We introduce a novel framework named ClarifyGPT, which aims to enhance code generation by empowering LLMs with the ability to identify ambiguous requirements and ask targeted clari…
cs.SE2023★ 3 cited
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace
Yuchao Huang, Junjie Wang, Zhe Liu +5
Crash reports are vital for software maintenance since they allow the developers to be informed of the problems encountered in the mobile application. Before fixing, developers nee…