5 papers
WebDesignIter: Co-Evolving Design Knowledge for Repository-Level Front-End Code Generation
Zheng Pei, Mingwei Liu, Zhenxi Chen +2
Front-end development accumulates change after change at the repository level, weaving complex cross-file dependencies that current LLM coding agents tuned for single-shot tasks ca…
Dynamic analysis enhances issue resolution
Mingwei Liu, Zihao Wang, Zhenxi Chen +3
Resolving complex code defects from natural language descriptions remains a fundamental software engineering challenge. Recently, large language models (LLMs) have driven the creat…
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation
Anji Li, Mingwei Liu, Zhenxi Chen +5
Automated unit test generation using large language models (LLMs) holds great promise but often struggles with generating tests that are both correct and maintainable in real-world…
Architecture-Aware Multi-Design Generation for Repository-Level Feature Addition
Mingwei Liu, Zhenxi Chen, Zheng Pei +3
Implementing new features across an entire codebase presents a formidable challenge for Large Language Models (LLMs). This proactive task requires a deep understanding of the globa…
Generating High-Quality Datasets for Code Editing via Open-Source Language Models
Zekai Zhang, Mingwei Liu, Zhenxi Chen +7
Code editing plays a vital role in software engineering, requiring developers to adjust existing code according to natural language instructions while keeping functionality intact…