Automated program repair

C Le Goues, M Pradel, A Roychoudhury - Communications of the ACM, 2019 - dl.acm.org
Automated program repair Page 1 56 COMMUNICATIONS OF THE ACM | DECEMBER 2019
| VOL. 62 | NO. 12 review articles ALEX IS A software developer, a recent hire at the company …

Automatic software repair: A bibliography

M Monperrus - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
This article presents a survey on automatic software repair. Automatic software repair
consists of automatically finding a solution to software bugs without human intervention. This …

Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT

CS Xia, L Zhang - arXiv preprint arXiv:2304.00385, 2023 - arxiv.org
Automated Program Repair (APR) aims to automatically generate patches for buggy
programs. Recent APR work has been focused on leveraging modern Large Language …

Autocoderover: Autonomous program improvement

Y Zhang, H Ruan, Z Fan, A Roychoudhury - Proceedings of the 33rd …, 2024 - dl.acm.org
Researchers have made significant progress in automating the software development
process in the past decades. Automated techniques for issue summarization, bug …

Dlfix: Context-based code transformation learning for automated program repair

Y Li, S Wang, TN Nguyen - Proceedings of the ACM/IEEE 42nd …, 2020 - dl.acm.org
Automated Program Repair (APR) is very useful in helping developers in the process of
software development and maintenance. Despite recent advances in deep learning (DL) …

Baldur: Whole-proof generation and repair with large language models

E First, MN Rabe, T Ringer, Y Brun - Proceedings of the 31st ACM Joint …, 2023 - dl.acm.org
Formally verifying software is a highly desirable but labor-intensive task. Recent work has
developed methods to automate formal verification using proof assistants, such as Coq and …

Neural program repair with execution-based backpropagation

H Ye, M Martinez, M Monperrus - … of the 44th international conference on …, 2022 - dl.acm.org
Neural machine translation (NMT) architectures have achieved promising results for
automatic program repair. Yet, they have the limitation of generating low-quality patches (eg …

A survey of learning-based automated program repair

Q Zhang, C Fang, Y Ma, W Sun, Z Chen - ACM Transactions on Software …, 2023 - dl.acm.org
Automated program repair (APR) aims to fix software bugs automatically and plays a crucial
role in software development and maintenance. With the recent advances in deep learning …

SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

Z Chen, S Kommrusch, M Tufano… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper presents a novel end-to-end approach to program repair based on sequence-to-
sequence learning. We devise, implement, and evaluate a technique, called SequenceR, for …

An empirical study on learning bug-fixing patches in the wild via neural machine translation

M Tufano, C Watson, G Bavota, MD Penta… - ACM Transactions on …, 2019 - dl.acm.org
Millions of open source projects with numerous bug fixes are available in code repositories.
This proliferation of software development histories can be leveraged to learn how to fix …