Using Large Language Models to Generate JUnit Tests: An Empirical Study-Reference-Cited by-同舟云学术

Using Large Language Models to Generate JUnit Tests: An Empirical Study

Published:2024-06-18 Issue: Volume:25 Page:313-322
ISSN:
Container-title:Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering
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Author:

Siddiq Mohammed Latif¹^ORCID,Da Silva Santos Joanna Cecilia¹^ORCID,Tanvir Ridwanul Hasan²^ORCID,Ulfat Noshin³^ORCID,Al Rifat Fahmid⁴^ORCID,Carvalho Lopes Vinícius¹^ORCID

Affiliation:

1. Computer Science and Engineering, University of Notre Dame, USA

2. Computer Science and Engineering, Pennsylvania State University, USA

3. IQVIA Inc., Bangladesh

4. Computer Science and Engineering, United International University, Bangladesh

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3661167.3661216

Reference68 articles.

1. Chat completions;Accessed Mar,2023

2. 2023. JaCoCo - Java Code Coverage Library. https://www.jacoco.org/jacoco/trunk/index.html [Online; accessed 30. Mar. 2023].

3. M. Allamanis E. T. Barr P. Devanbu and C. Sutton. 2018. A survey of machine learning for big code and naturalness. ACM Computing Surveys (CSUR) (2018).

4. Ben Athiwaratkun Sanjay Krishna Gouda Zijian Wang Xiaopeng Li ... and Bing Xiang. 2022. Multi-lingual Evaluation of Code Generation Models. (2022).

5. B. Athiwaratkun S. K. Gouda Z. Wang X. Li 2022. Multi-lingual Evaluation of Code Generation Models.

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