Evaluating Fault Localization and Program Repair Capabilities of Existing Closed-Source General-Purpose LLMs
Author:
Affiliation:
1. Beijing Jiaotong University, Beijing, China
2. Huawei Cloud Computing Technologies Co., Ltd., Hong Kong, China
3. King's College London, London, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3643795.3648390
Reference23 articles.
1. On the effectiveness of unified debugging
2. Jialun Cao, Meiziniu Li, Ming Wen, and Shing-chi Cheung. 2023. A study on prompt design, advantages and limitations of chatgpt for deep learning program repair. arXiv preprint arXiv:2304.08191 (2023).
3. Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, and Jie M Zhang. 2023. Large Language Models for Software Engineering: Survey and Open Problems. arXiv preprint arXiv:2310.03533 (2023).
4. Automated Repair of Programs from Large Language Models
5. Automatic software repair
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