Image de couverture de livre

No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yuan, Zhiqiang, Lou, Yiling, Liu, Mingwei, Ding, Shiji, Wang, Kaixin, Chen, Yixuan, Peng, Xin
Format:	Preprint
Publié:	2023
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis
par: Liu, Junwei, et autres
Publié: (2024)

Evaluating and Improving ChatGPT-Based Expansion of Abbreviations
par: Jiang, Yanjie, et autres
Publié: (2024)

Pros and Cons! Evaluating ChatGPT on Software Vulnerability
par: Yin, Xin
Publié: (2024)

ChatGPT and Human Synergy in Black-Box Testing: A Comparative Analysis
par: Kirinuki, Hiroyuki, et autres
Publié: (2024)

WIP: Assessing the Effectiveness of ChatGPT in Preparatory Testing Activities
par: Haldar, Susmita, et autres
Publié: (2025)

Guiding ChatGPT to Fix Web UI Tests via Explanation-Consistency Checking
par: Xu, Zhuolin, et autres
Publié: (2023)

Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub
par: Li, Ruiyin, et autres
Publié: (2025)

KTester: Leveraging Domain and Testing Knowledge for More Effective LLM-based Test Generation
par: Li, Anji, et autres
Publié: (2025)

Large Language Model-Based Agents for Software Engineering: A Survey
par: Liu, Junwei, et autres
Publié: (2024)

Why Do Developers Engage with ChatGPT in Issue-Tracker? Investigating Usage and Reliance on ChatGPT-Generated Code
par: Das, Joy Krishan, et autres
Publié: (2024)

CUPID: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection
par: Zhang, Ting, et autres
Publié: (2023)

TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference
par: Wang, Chong, et autres
Publié: (2024)

SOGPTSpotter: Detecting ChatGPT-Generated Answers on Stack Overflow
par: Ma, Suyu, et autres
Publié: (2026)

Self-collaboration Code Generation via ChatGPT
par: Dong, Yihong, et autres
Publié: (2023)

Is ChatGPT 3 safe for students?
par: Kotovich, Julia, et autres
Publié: (2024)

DevGPT: Studying Developer-ChatGPT Conversations
par: Xiao, Tao, et autres
Publié: (2023)

An Empirical Study of the Non-determinism of ChatGPT in Code Generation
par: Ouyang, Shuyin, et autres
Publié: (2023)

Less is More: On the Importance of Data Quality for Unit Test Generation
par: Zhang, Junwei, et autres
Publié: (2025)

System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT
par: Bhatia, Shreya, et autres
Publié: (2024)

On the Evaluation of Large Language Models in Unit Test Generation
par: Yang, Lin, et autres
Publié: (2024)

Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection
par: Yin, Xin, et autres
Publié: (2025)

TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment
par: Yuan, Zhiqiang, et autres
Publié: (2024)

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
par: Zhang, Chenyuan, et autres
Publié: (2023)

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
par: Liu, Zhijie, et autres
Publié: (2023)

An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues
par: Hao, Huizi, et autres
Publié: (2024)

The role of library versions in Developer-ChatGPT conversations
par: Raj, Rachna, et autres
Publié: (2024)

LLM-based Unit Test Generation via Property Retrieval
par: Zhang, Zhe, et autres
Publié: (2024)

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT
par: Colombo, Gaia, et autres
Publié: (2025)

Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT
par: Donato, Benedetta, et autres
Publié: (2025)

ChatGPT as a Software Development Bot: A Project-based Study
par: Waseem, Muhammad, et autres
Publié: (2023)

ChatUniTest: A Framework for LLM-Based Test Generation
par: Chen, Yinghao, et autres
Publié: (2023)

An Empirical Study of ChatGPT-Related Projects and Their Issues on GitHub
par: Lin, Zheng, et autres
Publié: (2024)

Test smells in LLM-Generated Unit Tests
par: Ouédraogo, Wendkûuni C., et autres
Publié: (2024)

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation
par: Antal, Gábor, et autres
Publié: (2025)

How I Learned to Stop Worrying and Love ChatGPT
par: Przymus, Piotr, et autres
Publié: (2025)

Exploring ChatGPT App Ecosystem: Distribution, Deployment and Security
par: Yan, Chuan, et autres
Publié: (2024)

WildCode: An Empirical Analysis of Code Generated by ChatGPT
par: Khanmohammadi, Kobra, et autres
Publié: (2025)

TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration
par: Gu, Siqi, et autres
Publié: (2024)

Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?
par: Yu, Xiao, et autres
Publié: (2024)

Automated Unit Test Refactoring
par: Gao, Yi, et autres
Publié: (2024)