Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair

Lan Zhang; Anoop Singhal; Qingtian Zou; Xiaoyan Sun; Peng Liu; Hsiao Ying Lin

doi:10.1109/MC.2025.3527407

Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair

Lan Zhang
, Anoop Singhal
, Qingtian Zou
, Xiaoyan Sun
, Peng Liu
, Hsiao Ying Lin

Informatics, Computing, and Cyber Systems, School of

Research output: Contribution to specialist publication › Article

Abstract

This article reviews the current human–large language models collaboration approach to bug fixing and points out the research directions toward (the development of) autonomous program repair artificial intelligence agents.

Original language	English (US)
Pages	122-128
Number of pages	7
Volume	58
No	7
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2025.3527407
State	Published - 2025

ASJC Scopus subject areas

General Computer Science

Access to Document

10.1109/MC.2025.3527407

Cite this

@misc{ae89b0dbc2af4a9dbbd2926aa5d10afe,

title = "Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair",

abstract = "This article reviews the current human–large language models collaboration approach to bug fixing and points out the research directions toward (the development of) autonomous program repair artificial intelligence agents.",

author = "Lan Zhang and Anoop Singhal and Qingtian Zou and Xiaoyan Sun and Peng Liu and Lin, \{Hsiao Ying\}",

note = "Publisher Copyright: {\textcopyright} 1970-2012 IEEE.",

year = "2025",

doi = "10.1109/MC.2025.3527407",

language = "English (US)",

volume = "58",

pages = "122--128",

journal = "Computer",

issn = "0018-9162",

publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair

AU - Zhang, Lan

AU - Singhal, Anoop

AU - Zou, Qingtian

AU - Sun, Xiaoyan

AU - Liu, Peng

AU - Lin, Hsiao Ying

PY - 2025

Y1 - 2025

N2 - This article reviews the current human–large language models collaboration approach to bug fixing and points out the research directions toward (the development of) autonomous program repair artificial intelligence agents.

AB - This article reviews the current human–large language models collaboration approach to bug fixing and points out the research directions toward (the development of) autonomous program repair artificial intelligence agents.

UR - https://www.scopus.com/pages/publications/105009587111

UR - https://www.scopus.com/pages/publications/105009587111#tab=citedBy

U2 - 10.1109/MC.2025.3527407

DO - 10.1109/MC.2025.3527407

M3 - Article

AN - SCOPUS:105009587111

SN - 0018-9162

VL - 58

SP - 122

EP - 128

JO - Computer

JF - Computer

ER -

Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this