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A Systematic Literature Review on Large Language Models for Automated Program Repair

https://doi.org/10.1145/3799693
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10515-024-00421-4openalex-snapshot
Distilled GPT for source code summarization
inferredcites →https://doi.org/10.1007/s10586-024-04490-8openalex-snapshot
Investigating large language models capabilities for automatic code repair in Python
inferredcites →https://doi.org/10.1007/s10664-019-09780-zopenalex-snapshot
FixMiner: Mining relevant fix patterns for automated program repair
inferredcites →https://doi.org/10.1016/j.infsof.2010.12.010openalex-snapshot
Identifying relevant studies in software engineering
inferredcites →https://doi.org/10.1016/j.infsof.2015.03.007openalex-snapshot
Guidelines for conducting systematic mapping studies in software engineering: An update
inferredcites →https://doi.org/10.1016/j.jss.2024.112083openalex-snapshot
T5APR: Empowering automated program repair across languages through checkpoint ensemble
inferredcites →https://doi.org/10.1038/s42256-023-00626-4openalex-snapshot
Parameter-efficient fine-tuning of large-scale pre-trained language models
inferredcites →https://doi.org/10.1109/32.286422openalex-snapshot
An empirical evaluation of weak mutation
inferredcites →https://doi.org/10.1109/apr59189.2023.00013openalex-snapshot
An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair
inferredcites →https://doi.org/10.1109/icse55347.2025.00030openalex-snapshot
Template-Guided Program Repair in the Era of Large Language Models
inferredcites →https://doi.org/10.1109/tdsc.2023.3308897openalex-snapshot
Pre-Trained Model-Based Automated Software Vulnerability Repair: How Far are We?
inferredcites →https://doi.org/10.1109/tifs.2024.3374558openalex-snapshot
On Hardware Security Bug Code Fixes by Prompting Large Language Models
inferredcites →https://doi.org/10.1109/tlt.2024.3403710openalex-snapshot
Automated Program Repair for Introductory Programming Assignments
inferredcites →https://doi.org/10.1109/tse.2011.104openalex-snapshot
GenProg: A Generic Method for Automatic Software Repair
inferredcites →https://doi.org/10.1109/tse.2016.2521368openalex-snapshot
A Survey on Software Fault Localization
inferredcites →https://doi.org/10.1109/tse.2016.2560811openalex-snapshot
Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs
inferredcites →https://doi.org/10.1109/tse.2017.2755013openalex-snapshot
Automatic Software Repair: A Survey
inferredcites →https://doi.org/10.1109/tse.2018.2874648openalex-snapshot
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming
inferredcites →https://doi.org/10.1109/tse.2022.3152089openalex-snapshot
Let’s Talk With Developers, Not About Developers: A Review of Automatic Program Repair Research
inferredcites →https://doi.org/10.1109/tse.2022.3174092openalex-snapshot
SEGRESS: Software Engineering Guidelines for REporting Secondary Studies
inferredcites →https://doi.org/10.1109/tse.2022.3212635openalex-snapshot
SynShine: Improved Fixing of Syntax Errors
inferredcites →https://doi.org/10.1109/tse.2023.3334955openalex-snapshot
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
inferredcites →https://doi.org/10.1109/tse.2024.3354969openalex-snapshot
APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models
inferredcites →https://doi.org/10.1109/tse.2024.3368208openalex-snapshot
Software Testing With Large Language Models: Survey, Landscape, and Vision
inferredcites →https://doi.org/10.1109/tse.2024.3452252openalex-snapshot
Leveraging Large Language Model for Automatic Patch Correctness Assessment
inferredcites →https://doi.org/10.1109/tse.2024.3472476openalex-snapshot
FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
inferredcites →https://doi.org/10.1109/tse.2025.3532759openalex-snapshot
Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair
inferredcites →https://doi.org/10.1109/tse.2025.3545970openalex-snapshot
Improving Retrieval-Augmented Deep Assertion Generation via Joint Training
inferredcites →https://doi.org/10.1145/2841425openalex-snapshot
Assessing Dependability with Software Fault Injection
inferredcites →https://doi.org/10.1145/3105906openalex-snapshot
Automatic Software Repair
inferredcites →https://doi.org/10.1145/3340544openalex-snapshot
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
inferredcites →https://doi.org/10.1145/3485275openalex-snapshot
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
inferredcites →https://doi.org/10.1145/3505243openalex-snapshot
A Survey on Deep Learning for Software Engineering
inferredcites →https://doi.org/10.1145/3576039openalex-snapshot
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches
inferredcites →https://doi.org/10.1145/3631972openalex-snapshot
Improving Automated Program Repair with Domain Adaptation
inferredcites →https://doi.org/10.1145/3631974openalex-snapshot
A Survey of Learning-based Automated Program Repair
inferredcites →https://doi.org/10.1145/3643674openalex-snapshot
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues
inferredcites →https://doi.org/10.1145/3697013openalex-snapshot
Divide-and-Conquer: Automating Code Revisions via Localization-and-Revision
inferredcites →https://doi.org/10.1145/3699598openalex-snapshot
Exploring Automated Assertion Generation via Large Language Models
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.139openalex-snapshot
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
inferredcites →https://doi.org/10.3390/electronics13071200openalex-snapshot
Exploring the Potential of Pre-Trained Language Models of Code for Automated Program Repair
inferredcites →https://doi.org/10.5281/zenodo.5297715openalex-snapshot
GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow
inferredcites →https://doi.org/10.61187/ita.v1i1.19openalex-snapshot
An Empirical Study of Adoption of ChatGPT for Bug Fixing among Professional Developers

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1109/access.2026.3665047openalex-snapshot
Feedback Systems on Computer Programming Courses: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/dsn-w70714.2026.00021openalex-snapshot
Multi-Agent-based Failure Recovery Planning for a Connected Vehicle Platform
inferred← citeshttps://doi.org/10.1109/icipcn67432.2026.11438429openalex-snapshot
Reviewing the Tools Of Creation: Large Language models and AI Agents in Automated software Engineering and Debugging
inferred← citeshttps://doi.org/10.1109/idciot67589.2026.11455819openalex-snapshot
Benchmarking Large Language Models for Automated Code Changes: A Systematic Review
inferred← citeshttps://doi.org/10.1109/iotaai70471.2026.11607693openalex-snapshot
Code Defect Detection and Automatic Repair Based on Large Language Models
inferred← citeshttps://doi.org/10.1109/saner67736.2026.00017openalex-snapshot
Integrating a Large Language Model into Search-Based Automated Program Repair
inferred← citeshttps://doi.org/10.1109/southeastcon63549.2026.11476483openalex-snapshot
Can LLMs Find Bugs in Code? An Evaluation from Beginner Errors to Security Vulnerabilities in Python and C++
inferred← citeshttps://doi.org/10.1109/sp63933.2026.00237openalex-snapshot
Web Application Vulnerability Repair Via Context-Aware Fault Localization and Directed Differential Fuzzing
inferred← citeshttps://doi.org/10.1145/3816024openalex-snapshot
How Do Large Language Models Perform in Deep Learning Code Generation? An Empirical Study
inferred← citeshttps://doi.org/10.1145/3832121openalex-snapshot
NSync: Automated Cloud Infrastructure-as-Code Reconciliation with AI Agents
inferred← citeshttps://doi.org/10.1145/3832783.3837539openalex-snapshot
Exact-IaC: Execution-Driven Exact Knowledge Injection for Reliable IaC Synthesis
inferred← citeshttps://doi.org/10.15407/jai2026.02.087openalex-snapshot
Using LLM Agents to Generate Migration SQL Queries in Cloud Computing Platforms
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