3 papers
cs.SE2025
Code Digital Twin: Empowering LLMs with Tacit Knowledge for Complex Software Development
Xin Peng, Chong Wang
Recent advances in large language models (LLMs) have demonstrated strong capabilities in software engineering tasks, raising expectations of revolutionary productivity gains. Howev…
cs.SE2025
Extracting Conceptual Knowledge to Locate Software Issues
Ying Wang, Wenjun Mao, Chong Wang +5
Issue localization, which identifies faulty code elements such as files or functions, is critical for effective bug fixing. While recent LLM-based and LLM-agent-based approaches im…
cs.SE2025
Code Digital Twin: A Knowledge Infrastructure for AI-Assisted Complex Software Development
Xin Peng, Chong Wang
Recent advances in AI coding tools powered by large language models (LLMs) have shown strong capabilities in software engineering tasks, raising expectations of major productivity…