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CoCoNuT: combining context-aware neural translation models using ensemble for program repair

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-25159-2_49openalex-snapshot

Building Program Vector Representations for Deep Learning

inferredcites →https://doi.org/10.1007/s10664-019-09742-5openalex-snapshot

Automatic patch generation with context-based change application

inferredcites →https://doi.org/10.1007/s11390-017-1757-4openalex-snapshot

Exploiting Unlabeled Data for Neural Grammatical Error Detection

inferredcites →https://doi.org/10.1016/j.ress.2017.10.019openalex-snapshot

Software reliability prediction using a deep learning model based on the RNN encoder–decoder

inferredcites →https://doi.org/10.1109/apsec.2018.00085openalex-snapshot

LSRepair: Live Search of Fix Ingredients for Automated Program Repair

inferredcites →https://doi.org/10.1109/ase.2017.8115674openalex-snapshot

Contract-based program repair without the contracts

inferredcites →https://doi.org/10.1109/ase.2017.8115675openalex-snapshot

Elixir: Effective object-oriented program repair

inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

inferredcites →https://doi.org/10.1109/cvpr.2015.7298885openalex-snapshot

Learning from massive noisy labeled data for image classification

inferredcites →https://doi.org/10.1109/iccis.2013.490openalex-snapshot

Does Genetic Programming Work Well on Automated Program Repair?

inferredcites →https://doi.org/10.1109/icse-c.2017.76openalex-snapshot

Codeflaws: a programming competition benchmark for evaluating automated program repair tools

inferredcites →https://doi.org/10.1109/icse.2015.139openalex-snapshot

Online Defect Prediction for Imbalanced Data

inferredcites →https://doi.org/10.1109/icse.2017.45openalex-snapshot

Precise Condition Synthesis for Program Repair

inferredcites →https://doi.org/10.1109/icse.2019.00020openalex-snapshot

Harnessing Evolution for Multi-Hunk Program Repair

inferredcites →https://doi.org/10.1109/icsme.2017.46openalex-snapshot

CCLearner: A Deep Learning-Based Clone Detection Approach

inferredcites →https://doi.org/10.1109/icsme.2019.00050openalex-snapshot

Impact Analysis of Syntactic and Semantic Similarities on Patch Prioritization in Automated Program Repair

inferredcites →https://doi.org/10.1109/icst.2019.00019openalex-snapshot

BugsJS: a Benchmark of JavaScript Bugs

inferredcites →https://doi.org/10.1109/icst.2019.00020openalex-snapshot

You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems

inferredcites →https://doi.org/10.1109/msr.2012.6224294openalex-snapshot

GHTorrent: Github's data from a firehose

inferredcites →https://doi.org/10.1109/qrs.2017.42openalex-snapshot

Software Defect Prediction via Convolutional Neural Network

inferredcites →https://doi.org/10.1109/saner.2016.76openalex-snapshot

History Driven Program Repair

inferredcites →https://doi.org/10.1109/saner.2018.8330202openalex-snapshot

Mining stackoverflow for program repair

inferredcites →https://doi.org/10.1109/saner.2019.8667970openalex-snapshot

AVATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations

inferredcites →https://doi.org/10.1109/saner.2019.8667991openalex-snapshot

BEARS: An Extensible Java Bug Benchmark for Automatic Program Repair Studies

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.2015.2454513openalex-snapshot

The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs

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.2018.2874648openalex-snapshot

ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

inferredcites →https://doi.org/10.1109/tse.2019.2944914openalex-snapshot

SOSRepair: Expressive Semantic Search for Real-World Program Repair

inferredcites →https://doi.org/10.1121/1.2016299openalex-snapshot

Perplexity—a measure of the difficulty of speech recognition tasks

inferredcites →https://doi.org/10.1145/1985793.1985859openalex-snapshot

Dealing with noise in defect prediction

inferredcites →https://doi.org/10.1145/2568225.2568257openalex-snapshot

Vejovis: suggesting fixes for JavaScript faults

inferredcites →https://doi.org/10.1145/2610384.2628055openalex-snapshot

Defects4J: a database of existing faults to enable controlled testing studies for Java programs

inferredcites →https://doi.org/10.1145/2771783.2771791openalex-snapshot

An analysis of patch plausibility and correctness for generate-and-validate patch generation systems

inferredcites →https://doi.org/10.1145/2786805.2786811openalex-snapshot

Staged program repair with condition synthesis

inferredcites →https://doi.org/10.1145/2884781.2884804openalex-snapshot

Automatically learning semantic features for defect prediction

inferredcites →https://doi.org/10.1145/2884781.2884807openalex-snapshot

Angelix

inferredcites →https://doi.org/10.1145/2884781.2884872openalex-snapshot

An analysis of the search spaces for generate and validate patch generation systems

inferredcites →https://doi.org/10.1145/2889160openalex-snapshot

Proceedings of the 38th International Conference on Software Engineering Companion

inferredcites →https://doi.org/10.1145/2896921.2896931openalex-snapshot

DynaMoth

inferredcites →https://doi.org/10.1145/2931037.2948705openalex-snapshot

ASTOR: a program repair library for Java (demo)

inferredcites →https://doi.org/10.1145/2950290.2950308openalex-snapshot

Discovering bug patterns in JavaScript

inferredcites →https://doi.org/10.1145/2950290.2983951openalex-snapshot

Guided code synthesis using deep neural networks

inferredcites →https://doi.org/10.1145/2970276.2970326openalex-snapshot

Deep learning code fragments for code clone detection

inferredcites →https://doi.org/10.1145/3106237.3106253openalex-snapshot

Automatic inference of code transforms for patch generation

inferredcites →https://doi.org/10.1145/3106237.3106274openalex-snapshot

Better test cases for better automated program repair

inferredcites →https://doi.org/10.1145/3106237.3106290openalex-snapshot

Are deep neural networks the best choice for modeling source code?

inferredcites →https://doi.org/10.1145/3135932.3135941openalex-snapshot

QuixBugs: a multi-lingual program repair benchmark set based on the quixey challenge

inferredcites →https://doi.org/10.1145/3180155.3180167openalex-snapshot

Deep code search

inferredcites →https://doi.org/10.1145/3180155.3180233openalex-snapshot

Context-aware patch generation for better automated program repair

inferredcites →https://doi.org/10.1145/3196398.3196473openalex-snapshot

Bugs.jar

inferredcites →https://doi.org/10.1145/3212695openalex-snapshot

A Survey of Machine Learning for Big Code and Naturalness

inferredcites →https://doi.org/10.1145/3213846.3213871openalex-snapshot

Shaping program repair space with existing patches and similar code

inferredcites →https://doi.org/10.1145/3236024.3264600openalex-snapshot

SketchFix: a tool for automated program repair approach using lazy candidate generation

inferredcites →https://doi.org/10.1145/3238147.3240732openalex-snapshot

An empirical investigation into learning bug-fixing patches in the wild via neural machine translation

inferredcites →https://doi.org/10.1145/3290353openalex-snapshot

code2vec: learning distributed representations of code

inferredcites →https://doi.org/10.1145/3293882.3330577openalex-snapshot

TBar: revisiting template-based automated program repair

inferredcites →https://doi.org/10.1145/3338906.3338935openalex-snapshot

iFixR: bug report driven program repair

inferredcites →https://doi.org/10.1145/3338906.3340455openalex-snapshot

DeepDelta: learning to repair compilation errors

inferredcites →https://doi.org/10.1145/3377811.3380338openalex-snapshot

On the efficiency of test suite based program repair

inferredcites →https://doi.org/10.1145/3377811.3380345openalex-snapshot

DLFix

inferredcites →https://doi.org/10.1609/aaai.v31i1.10742openalex-snapshot

DeepFix: Fixing Common C Language Errors by Deep Learning

inferredcites →https://doi.org/10.1609/aaai.v32i1.12069openalex-snapshot

A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction

inferredcites →https://doi.org/10.18653/v1/d15-1166openalex-snapshot

Effective Approaches to Attention-based Neural Machine Translation

inferredcites →https://doi.org/10.18653/v1/d17-1297openalex-snapshot

Neural Sequence-Labelling Models for Grammatical Error Correction

inferredcites →https://doi.org/10.18653/v1/d17-1298openalex-snapshot

Adapting Sequence Models for Sentence Correction

inferredcites →https://doi.org/10.18653/v1/p18-1097openalex-snapshot

Fluency Boost Learning and Inference for Neural Grammatical Error Correction

inferredcites →https://doi.org/10.18653/v1/w17-5039openalex-snapshot

Systematically Adapting Machine Translation for Grammatical Error Correction

inferredcites →https://doi.org/10.48550/arxiv.1510.07211openalex-snapshot

On End-to-End Program Generation from User Intention by Deep Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1602.03001openalex-snapshot

A Convolutional Attention Network for Extreme Summarization of Source Code

inferredcites →https://doi.org/10.48550/arxiv.1703.05698openalex-snapshot

Neural Sketch Learning for Conditional Program Generation

inferredcites →https://doi.org/10.48550/arxiv.1705.03122openalex-snapshot

Convolutional Sequence to Sequence Learning

inferredcites →https://doi.org/10.48550/arxiv.1707.00299openalex-snapshot

Grammatical Error Correction with Neural Reinforcement Learning

inferredcites →https://doi.org/10.48550/arxiv.1807.01270openalex-snapshot

Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study

inferredcites →https://doi.org/10.5555/2819009.2819026openalex-snapshot

Online defect prediction for imbalanced data

inferredcites →https://doi.org/10.65215/2q58a426openalex-snapshot

Attention Is All You Need

inferredcites →https://doi.org/10.7287/peerj.preprints.3123v1openalex-snapshot

Finding and correcting syntax errors using recurrent neural networks

What points at this work

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

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An Empirical Study on Real Bug Fixes in Smart Contracts Projects

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RobustNPR: Evaluating the robustness of neural program repair models

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Enhanced evolutionary automated program repair by finer‐granularity ingredients and better search algorithms

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WELL: Applying bug detectors to bug localization via weakly supervised learning

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Structuring Semantic‐Aware Relations Between Bugs and Patches for Accurate Patch Evaluation

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Fine-Tuning GPT-2 to Patch Programs, Is It Worth It?

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Investigating the OOV Problem and Its Impacts on Neural Program Repair

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Automated Program Repair Based on Large Language Model and Mask Templates

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ISTIC’s Neural Machine Translation System for CCMT’ 2021

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ISTIC’s Thai-to-Chinese Neural Machine Translation System for CCMT’ 2022

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Fine-Grained Repair Knowledge Organization for Knowledge-Guided Automated Program Repair

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CODE ACROSTIC: Robust Watermarking for Code Generation

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Cross-Standard Code Defect Identification and AST-Based Template-Driven Automated Repair Methods

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Exploration Study About LLM with Proper Prompt in Automated Program Repair

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Fine-Tuning CodeLlama to Fix Bugs

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DifFuzzAR: automatic repair of timing side-channel vulnerabilities via refactoring

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An empirical study on the code naturalness modeling capability for LLMs in automated patch correctness assessment

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Context-aware prompting for LLM-based program repair

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Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair

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MultiMend: multilingual program repair with context augmentation and multi-hunk patch generation

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ReviewTestFuse: Fusing review-guided and direct test generation for deployable regression testing

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Investigating large language models capabilities for automatic code repair in Python

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SPVF: security property assisted vulnerability fixing via attention-based models

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A controlled experiment of different code representations for learning-based program repair

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Enhancing robustness of AI offensive code generators via data augmentation

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HAFix: history-augmented large language models for bug fixing

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ComPass: Contrastive Learning for Automated Patch Correctness Assessment in Program Repair

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Word-Context Attention for Text Representation

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SAGA: Summarization-Guided Assert Statement Generation

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LineJLocRepair: A line-level method for Automated Vulnerability Repair based on joint training

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Automatically repairing tensor shape faults in deep learning programs

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Crex: Predicting patch correctness in automated repair of C programs through transfer learning of execution semantics

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FlowRepair: Search-based automated program repair of CPS controllers modeled in Simulink-Stateflow

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A comparative analysis of the role of Large Language Models and Low-Rank Adaptation in Automated Program Repair

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CAMP: Cognition-Aligned Multi-stage Automated Program Repair

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Pattern Synergistic Repair: Multi-expert LoRA fusion for automated program repair

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A critical review on the evaluation of automated program repair systems

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OrdinalFix: Fixing Compilation Errors via Shortest-Path CFL Reachability

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Hierarchical Knowledge Injection for Improving LLM-based Program Repair

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Automated Repair of OpenID Connect Programs

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KeBugFix: Automated Program Repair Framework Based on Code Retrieval Enhancement and LLM Agent

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M3V: Multi-modal Multi-view Context Embedding for Repair Operator Prediction

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TraceStructRepair: Effective Diagnostic Representation for Context-Limited Automated Program Repair

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Navigating (in)Security of AI-Generated Code

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AgentRepair: Multi-Agent, AST-Anchored, Retrieval-Augmented Program Repair for Cold-Start Environments

inferred← citeshttps://doi.org/10.1109/dsc59305.2023.00078openalex-snapshot

FixGPT: A Novel Three-Tier Deep Learning Model for Automated Program Repair

inferred← citeshttps://doi.org/10.1109/dsn-w54100.2022.00027openalex-snapshot

Repairing Security Vulnerabilities Using Pre-trained Programming Language Models

inferred← citeshttps://doi.org/10.1109/esem64174.2025.00052openalex-snapshot

Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities

inferred← citeshttps://doi.org/10.1109/forge66646.2025.00028openalex-snapshot

Extracting Fix Ingredients using Language Models

inferred← citeshttps://doi.org/10.1109/ic3i59117.2023.10397753openalex-snapshot

Retracted: Analyse and Evaluate Quixbugs with Open AI Codex and Powering Next Generation Application

inferred← citeshttps://doi.org/10.1109/icaiccit64383.2024.10912101openalex-snapshot

Deep Learning for Contextual Bug Detection and Automated Fixes in Software Systems

inferred← citeshttps://doi.org/10.1109/icast57874.2023.10359288openalex-snapshot

Program Repair with Minimal Edits Using CodeT5

inferred← citeshttps://doi.org/10.1109/icast57874.2023.10359304openalex-snapshot

Using Large Language Models for Bug Localization and Fixing

inferred← citeshttps://doi.org/10.1109/icbctis66509.2025.11387695openalex-snapshot

End-to-End Secure Code Repair with Context-Aware Anonymization and Isolated Agent Execution

inferred← citeshttps://doi.org/10.1109/icccs52626.2021.9449233openalex-snapshot

Fix Director for Automated Program Repair

inferred← citeshttps://doi.org/10.1109/icipcn63822.2024.00135openalex-snapshot

A Novel Software Test Data Generation Framework based on Multi-level Fuzzy Clustering Algorithm

inferred← citeshttps://doi.org/10.1109/icoict66265.2025.11193025openalex-snapshot

FABRIC - A Fault-aware BiLSTM Approach for Programming Bug Detection and Corrective Suggestion

inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00089openalex-snapshot

Automatic Program Repair via Learning Edits on Sequence Code Property Graph

inferred← citeshttps://doi.org/10.1109/icse-companion58688.2023.00057openalex-snapshot

Toward More Effective Deep Learning-based Automated Software Vulnerability Prediction, Classification, and Repair

inferred← citeshttps://doi.org/10.1109/icse-seet58685.2023.00035openalex-snapshot

REFERENT: Transformer-based Feedback Generation using Assignment Information for Programming Course

inferred← citeshttps://doi.org/10.1109/icse43902.2021.00107openalex-snapshot

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00111openalex-snapshot

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00112openalex-snapshot

Rete: Learning Namespace Representation for Program Repair

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00125openalex-snapshot

Impact of Code Language Models on Automated Program Repair

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00126openalex-snapshot

Tare: Type-Aware Neural Program Repair

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00127openalex-snapshot

Template-based Neural Program Repair

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00128openalex-snapshot

Automated Repair of Programs from Large Language Models

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00129openalex-snapshot

Automated Program Repair in the Era of Large Pre-trained Language Models

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00205openalex-snapshot

Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/icse55347.2025.00030openalex-snapshot

Template-Guided Program Repair in the Era of Large Language Models

inferred← citeshttps://doi.org/10.1109/icse55347.2025.00157openalex-snapshot

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair

inferred← citeshttps://doi.org/10.1109/icse55347.2025.00162openalex-snapshot

The Fact Selection Problem in LLM-Based Program Repair

inferred← citeshttps://doi.org/10.1109/icsess67729.2025.11380277openalex-snapshot

A Survey and Prospects of Source Code Processing Techniques Based on Large Language Models

inferred← citeshttps://doi.org/10.1109/icsme52107.2021.00010openalex-snapshot

Revisiting Test Cases to Boost Generate-and-Validate Program Repair

inferred← citeshttps://doi.org/10.1109/icsme52107.2021.00045openalex-snapshot

Sirius: Static Program Repair with Dependence Graph-Based Systematic Edit Patterns

inferred← citeshttps://doi.org/10.1109/icsme55016.2022.00051openalex-snapshot

Impact of Defect Instances for Successful Deep Learning-based Automatic Program Repair

inferred← citeshttps://doi.org/10.1109/icsme58846.2023.00024openalex-snapshot

Enhancing Code Language Models for Program Repair by Curricular Fine-tuning Framework

inferred← citeshttps://doi.org/10.1109/icsme58944.2024.00014openalex-snapshot

An Empirical Study of Automatic Program Repair Techniques for Injection Vulnerabilities

inferred← citeshttps://doi.org/10.1109/icsme58944.2024.00028openalex-snapshot

RetypeR: Integrated Retrieval-based Automatic Program Repair for Python Type Errors

inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00018openalex-snapshot

Boosting Redundancy-Based Automated Program Repair by Fine-Grained Pattern Mining

inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00042openalex-snapshot

The Impact of Fine-Tuning Large Language Models on Automated Program Repair

inferred← citeshttps://doi.org/10.1109/icst53961.2022.00030openalex-snapshot

Providing Real-time Assistance for Repairing Runtime Exceptions using Stack Overflow Posts

inferred← citeshttps://doi.org/10.1109/icst57152.2023.00016openalex-snapshot

CorCA: An Automatic Program Repair Tool for Checking and Removing Effectively C Flaws

inferred← citeshttps://doi.org/10.1109/icst57152.2023.00018openalex-snapshot

Embedding Context as Code Dependencies for Neural Program Repair

inferred← citeshttps://doi.org/10.1109/icst60714.2024.00013openalex-snapshot

FusionFL: A Statement-Level Feature Fusion Based Fault Localization Approach

inferred← citeshttps://doi.org/10.1109/icst62969.2025.10989008openalex-snapshot

Understanding and Enhancing Attribute Prioritization in Fixing Web UI Tests with LLMs

inferred← citeshttps://doi.org/10.1109/icstw58534.2023.00062openalex-snapshot

The Inversive Relationship Between Bugs and Patches: An Empirical Study

inferred← citeshttps://doi.org/10.1109/icws67624.2025.00123openalex-snapshot

EvoAPR: Enhancing Large Language Models for Automatic Program Repair with Genetic Algorithm and Dynamic LoRA

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/ijcnn55064.2022.9892168openalex-snapshot

Leveraging Causal Inference for Explainable Automatic Program Repair

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650123openalex-snapshot

SeTemAPR: Incorporating Semantic Knowledge in Template-based Neural Program Repair

inferred← citeshttps://doi.org/10.1109/isctis70043.2026.11572607openalex-snapshot

Impact of Different Buggy Code Information on Large Language Model-Based Automated Program Repair

inferred← citeshttps://doi.org/10.1109/issre52982.2021.00014openalex-snapshot

Tensfa: Detecting and Repairing Tensor Shape Faults in Deep Learning Systems

inferred← citeshttps://doi.org/10.1109/issre52982.2021.00031openalex-snapshot

A Comparative Study of Automatic Program Repair Techniques for Security Vulnerabilities

inferred← citeshttps://doi.org/10.1109/issre55969.2022.00018openalex-snapshot

START: A Framework for Trusted and Resilient Autonomous Vehicles (Practical Experience Report)

inferred← citeshttps://doi.org/10.1109/issre62328.2024.00048openalex-snapshot

Ratchet: Retrieval Augmented Transformer for Program Repair

inferred← citeshttps://doi.org/10.1109/lra.2024.3441493openalex-snapshot

DrPlanner: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models

inferred← citeshttps://doi.org/10.1109/msr52588.2021.00063openalex-snapshot

Applying CodeBERT for Automated Program Repair of Java Simple Bugs

inferred← citeshttps://doi.org/10.1109/qrs54544.2021.00091openalex-snapshot

GrasP: Graph-to-Sequence Learning for Automated Program Repair

inferred← citeshttps://doi.org/10.1109/saner50967.2021.00018openalex-snapshot

Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair

inferred← citeshttps://doi.org/10.1109/saner50967.2021.00035openalex-snapshot

On the Impact of Flaky Tests in Automated Program Repair

inferred← citeshttps://doi.org/10.1109/saner53432.2022.00114openalex-snapshot

VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements

inferred← citeshttps://doi.org/10.1109/saner56733.2023.00027openalex-snapshot

Security Code Recommendations for Smart Contract

inferred← citeshttps://doi.org/10.1109/saner56733.2023.00038openalex-snapshot

Slice-Based Code Change Representation Learning

inferred← citeshttps://doi.org/10.1109/saner60148.2024.00044openalex-snapshot

CEDAR: Continuous Testing of Deep Learning Libraries

inferred← citeshttps://doi.org/10.1109/saner60148.2024.00064openalex-snapshot

Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization

inferred← citeshttps://doi.org/10.1109/saner64311.2025.00026openalex-snapshot

Enhancing Automated Vulnerability Repair Through Dependency Embedding and Pattern Store

inferred← citeshttps://doi.org/10.1109/scam67354.2025.00016openalex-snapshot

On the need to perform comprehensive evaluations of automated program repair benchmarks: Sorald case study

inferred← citeshttps://doi.org/10.1109/sera61261.2024.10685568openalex-snapshot

Context Matters: Investigating Its Impact on ChatGPT's Bug Fixing Performance

inferred← citeshttps://doi.org/10.1109/sp46215.2023.10179324openalex-snapshot

Examining Zero-Shot Vulnerability Repair with Large Language Models

inferred← citeshttps://doi.org/10.1109/sp46215.2023.10179420openalex-snapshot

Examining Zero-Shot Vulnerability Repair with Large Language Models

inferred← citeshttps://doi.org/10.1109/tce.2024.3524511openalex-snapshot

Uncertainty Estimation of Automatic Software Debugging in Open-Source Projects Hosting Platform

inferred← citeshttps://doi.org/10.1109/tce.2026.3676742openalex-snapshot

CorrEvator: Evaluating Patch Correctness in Automated Program Repair From Online Community Discussions

inferred← citeshttps://doi.org/10.1109/tdsc.2024.3482413openalex-snapshot

Automatically Mitigating Vulnerabilities in Binary Programs via Partially Recompilable Decompilation

inferred← citeshttps://doi.org/10.1109/tifs.2025.3618407openalex-snapshot

InstructRepair: Instruct Large Language Models With Rich Bug Information for Automated Program Repair

inferred← citeshttps://doi.org/10.1109/tlt.2024.3403710openalex-snapshot

Automated Program Repair for Introductory Programming Assignments

inferred← citeshttps://doi.org/10.1109/tr.2022.3194370openalex-snapshot

Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit

inferred← citeshttps://doi.org/10.1109/tse.2021.3071750openalex-snapshot

Automated Classification of Overfitting Patches With Statically Extracted Code Features

inferred← citeshttps://doi.org/10.1109/tse.2021.3135875openalex-snapshot

Deep Just-In-Time Defect Localization

inferred← citeshttps://doi.org/10.1109/tse.2022.3147265openalex-snapshot

Neural Transfer Learning for Repairing Security Vulnerabilities in C Code

inferred← citeshttps://doi.org/10.1109/tse.2022.3164662openalex-snapshot

Program Repair With Repeated Learning

inferred← citeshttps://doi.org/10.1109/tse.2022.3173346openalex-snapshot

Machine/Deep Learning for Software Engineering: A Systematic Literature Review

inferred← citeshttps://doi.org/10.1109/tse.2022.3212635openalex-snapshot

SynShine: Improved Fixing of Syntax Errors

inferred← citeshttps://doi.org/10.1109/tse.2023.3255177openalex-snapshot

Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning

inferred← citeshttps://doi.org/10.1109/tse.2023.3275380openalex-snapshot

Learning the Relation Between Code Features and Code Transforms With Structured Prediction

inferred← citeshttps://doi.org/10.1109/tse.2024.3354969openalex-snapshot

APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models

inferred← citeshttps://doi.org/10.1109/tse.2024.3376387openalex-snapshot

Automated Code Editing With Search-Generate-Modify

inferred← citeshttps://doi.org/10.1109/tse.2024.3379583openalex-snapshot

hmCodeTrans: Human–Machine Interactive Code Translation

inferred← citeshttps://doi.org/10.1109/tse.2024.3461657openalex-snapshot

D3: Differential Testing of Distributed Deep Learning With Model Generation

inferred← citeshttps://doi.org/10.1109/tse.2024.3497798openalex-snapshot

GenProgJS: A Baseline System for Test-Based Automated Repair of JavaScript Programs

inferred← citeshttps://doi.org/10.1109/tse.2024.3519159openalex-snapshot

ChatAssert: LLM-Based Test Oracle Generation With External Tools Assistance

inferred← citeshttps://doi.org/10.1109/tse.2025.3532759openalex-snapshot

Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair

inferred← citeshttps://doi.org/10.1109/tse.2025.3571192openalex-snapshot

Proactive Debugging of Memory Leakage Bugs in Single Page Web Applications

inferred← citeshttps://doi.org/10.1109/tse.2025.3594673openalex-snapshot

Large Language Models-Aided Program Debloating

inferred← citeshttps://doi.org/10.1109/tse.2026.3687916openalex-snapshot

P-NPR: Practical Neural Program Repair via Learning to Ensemble

inferred← citeshttps://doi.org/10.1111/exsy.70251openalex-snapshot

Integrating Retrieval Augmentation and Decoding Intervention for Automated Program Repair

inferred← citeshttps://doi.org/10.1142/s0218194025500068openalex-snapshot

RESEARCH NOTES — GMRepair: Graph Mining Template-Based Automated Software Repair

inferred← citeshttps://doi.org/10.1142/s0218194025500731openalex-snapshot

PCRepair: A Context-Aware Template-Based Approach for Automated Program Repair

inferred← citeshttps://doi.org/10.1142/s021972002471001xopenalex-snapshot

How much can ChatGPT really help computational biologists in programming?

inferred← citeshttps://doi.org/10.1145/3324884.3416587openalex-snapshot

Patching as translation

inferred← citeshttps://doi.org/10.1145/3468264.3468544openalex-snapshot

A syntax-guided edit decoder for neural program repair

inferred← citeshttps://doi.org/10.1145/3487570openalex-snapshot

L2S: A Framework for Synthesizing the Most Probable Program under a Specification

inferred← citeshttps://doi.org/10.1145/3505247openalex-snapshot

Context-Aware Code Change Embedding for Better Patch Correctness Assessment

inferred← citeshttps://doi.org/10.1145/3510003.3510117openalex-snapshot

Towards boosting patch execution on-the-fly

inferred← citeshttps://doi.org/10.1145/3510003.3510147openalex-snapshot

Improving fault localization and program repair with deep semantic features and transferred knowledge

inferred← citeshttps://doi.org/10.1145/3510003.3510177openalex-snapshot

DEAR

inferred← citeshttps://doi.org/10.1145/3510003.3510186openalex-snapshot

NPEX

inferred← citeshttps://doi.org/10.1145/3510003.3510222openalex-snapshot

Neural program repair with execution-based backpropagation

inferred← citeshttps://doi.org/10.1145/3510003.3510226openalex-snapshot

SapientML

inferred← citeshttps://doi.org/10.1145/3510003.3510620openalex-snapshot

PropR

inferred← citeshttps://doi.org/10.1145/3511096openalex-snapshot

Predicting Patch Correctness Based on the Similarity of Failing Test Cases

inferred← citeshttps://doi.org/10.1145/3512290.3528864openalex-snapshot

Improving source-code representations to enhance search-based software repair

inferred← citeshttps://doi.org/10.1145/3524459.3527343openalex-snapshot

Language models can prioritize patches for practical program patching

inferred← citeshttps://doi.org/10.1145/3524459.3527347openalex-snapshot

Framing program repair as code completion

inferred← citeshttps://doi.org/10.1145/3524459.3527350openalex-snapshot

Towards JavaScript program repair with generative pre-trained transformer (GPT-2)

inferred← citeshttps://doi.org/10.1145/3524459.3527351openalex-snapshot

Can OpenAI's codex fix bugs?

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