2 citations · 5 across the 17 of their papers we have counts for
5 papers · 1 filter
Static Code Analyzer Recommendation via Preference Mining
Xiuting Ge, Chunrong Fang, Xuanye Li +3
Static Code Analyzers (SCAs) have played a critical role in software quality assurance. However, SCAs with various static analysis techniques suffer from different levels of false…
A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing
Ye Shang, Quanjun Zhang, Chunrong Fang +3
Unit testing plays a pivotal role in software development, improving software quality and reliability. However, generating effective test cases manually is time-consuming, promptin…
TestBench: Evaluating Class-Level Test Case Generation Capability of Large Language Models
Quanjun Zhang, Ye Shang, Chunrong Fang +3
Software testing is a crucial phase in the software life cycle, helping identify potential risks and reduce maintenance costs. With the advancement of Large Language Models (LLMs),…
No Man is an Island: Towards Fully Automatic Programming by Code Search, Code Generation and Program Repair
Quanjun Zhang, Chunrong Fang, Ye Shang +3
Automatic programming attempts to minimize human intervention in the generation of executable code, and has been a long-standing challenge in the software engineering community. To…
Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs
Haichuan Hu, Ye Shang, Guolin Xu +2
LLMs have long demonstrated remarkable effectiveness in automatic program repair (APR), with OpenAI's ChatGPT being one of the most widely used models in this domain. Through conti…