Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT-Reference-Cited by-同舟云学术

Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT

Published:2024-09-11 Issue: Volume:55 Page:819-831
ISSN:
Container-title:Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis
language:
Short-container-title:

Author:

Xia Chunqiu Steven¹^ORCID,Zhang Lingming¹^ORCID

Affiliation:

1. University of Illinois at Urbana-Champaign, Urbana, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3650212.3680323

Reference86 articles.

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2. Earl T. Barr, Yuriy Brun, Premkumar Devanbu, Mark Harman, and Federica Sarro. 2014. The Plastic Surgery Hypothesis. In FSE 2014. 306–317.

3. Samuel Benton Xia Li Yiling Lou and Lingming Zhang. 2020. On the Effectiveness of Unified Debugging: An Extensive Study on 16 Program Repair Systems. In ASE. 907–918.

4. Sid Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, Kyle McDonell, Jason Phang, Michael Pieler, USVSN Sai Prashanth, Shivanshu Purohit, Laria Reynolds, Jonathan Tow, Ben Wang, and Samuel Weinbach. 2022. GPT-NeoX-20B: An Open-Source Autoregressive Language Model. In Proceedings of the ACL Workshop on Challenges & Perspectives in Creating Large Language Models. arXiv:2204.06745

5. Islem Bouzenia, Premkumar Devanbu, and Michael Pradel. 2024. Repairagent: An autonomous, llm-based agent for program repair. arXiv preprint arXiv:2403.17134.