A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing

Unit testing plays a pivotal role in software development, improving software quality and reliability. However, generating effective test cases manually is time-consuming, prompting interest in unit testing research. Recently, Large Language Models (LLMs) have shown potential in various unit testing...

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Vydané v:	Proceedings of the ACM on software engineering Ročník 2; číslo ISSTA; s. 1678 - 1700
Hlavní autori:	Shang, Ye, Zhang, Quanjun, Fang, Chunrong, Gu, Siqi, Zhou, Jianyi, Chen, Zhenyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY, USA ACM 22.06.2025
Predmet:	Software and its engineering Software testing and debugging Unit Testing Large Language Model AI for SE Software Testing
ISSN:	2994-970X, 2994-970X
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