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DLFix

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What this work says

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

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

LSRepair: Live Search of Fix Ingredients for Automated Program Repair

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

Elixir: Effective object-oriented program repair

inferredcites →https://doi.org/10.1109/ase.2017.8115676openalex-snapshot

Leveraging syntax-related code for automated program repair

inferredcites →https://doi.org/10.1109/icse.2012.6227211openalex-snapshot

A systematic study of automated program repair: Fixing 55 out of 105 bugs for $8 each

inferredcites →https://doi.org/10.1109/icse.2013.6606623openalex-snapshot

SemFix: Program repair via semantic analysis

inferredcites →https://doi.org/10.1109/icse.2013.6606626openalex-snapshot

Automatic patch generation learned from human-written patches

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

Precise Condition Synthesis for Program Repair

inferredcites →https://doi.org/10.1109/icse.2017.62openalex-snapshot

Evaluating and Improving Fault Localization

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

Harnessing Evolution for Multi-Hunk Program Repair

inferredcites →https://doi.org/10.1109/icse.2019.00021openalex-snapshot

On Learning Meaningful Code Changes Via Neural Machine Translation

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/prdc.2006.18openalex-snapshot

An Evaluation of Similarity Coefficients for Software Fault Localization

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

History Driven 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.2019.8668043openalex-snapshot

Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities

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.2019.2940179openalex-snapshot

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

inferredcites →https://doi.org/10.1145/1806799.1806847openalex-snapshot

Recurring bug fixes in object-oriented programs

inferredcites →https://doi.org/10.1145/2393596.2393659openalex-snapshot

A case study of cross-system porting in forked projects

inferredcites →https://doi.org/10.1145/2568225.2568254openalex-snapshot

The strength of random search on automated program repair

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

Staged program repair with condition synthesis

inferredcites →https://doi.org/10.1145/2786805.2786825openalex-snapshot

Is the cure worse than the disease? overfitting in automated program repair

inferredcites →https://doi.org/10.1145/2837614.2837617openalex-snapshot

Automatic patch generation by learning correct code

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

ASTOR: a program repair library for Java (demo)

inferredcites →https://doi.org/10.1145/2950290.2950295openalex-snapshot

Anti-patterns in search-based program repair

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/10.1145/3180155.3180233openalex-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/10.1145/3238147.3238206openalex-snapshot

Improving automatic source code summarization via deep reinforcement learning

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/10.1145/3293882.3330577openalex-snapshot

TBar: revisiting template-based automated program repair

inferredcites →https://doi.org/10.1145/3360588openalex-snapshot

Improving bug detection via context-based code representation learning and attention-based neural networks

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

DeepFix: Fixing Common C Language Errors by Deep Learning

inferredcites →https://doi.org/10.18653/v1/p17-1099openalex-snapshot

Get To The Point: Summarization with Pointer-Generator Networks

inferredcites →https://doi.org/10.3115/v1/p15-1150openalex-snapshot

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

inferredcites →https://doi.org/10.48550/arxiv.1812.07170openalex-snapshot

Learning to Generate Corrective Patches using Neural Machine Translation

inferredcites →https://doi.org/10.5555/2486788.2486890openalex-snapshot

SemFix: program repair via semantic analysis

What points at this work

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

inferred← citeshttps://doi.org/10.5281/zenodo.4445746openalex-extracted

Review4Repair: Code Review Aided Automatic Program Repairing

inferred← citeshttps://doi.org/10.1002/smr.2586openalex-snapshot

RobustNPR: Evaluating the robustness of neural program repair models

inferred← citeshttps://doi.org/10.1002/smr.2624openalex-snapshot

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

inferred← citeshttps://doi.org/10.1002/smr.70001openalex-snapshot

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

inferred← citeshttps://doi.org/10.1002/smr.70015openalex-snapshot

CARLDA: An Approach for Stack Overflow API Mention Recognition Driven by Context and LLM‐Based Data Augmentation

inferred← citeshttps://doi.org/10.1007/978-3-030-93733-1_8openalex-snapshot

SampleFix: Learning to Generate Functionally Diverse Fixes

inferred← citeshttps://doi.org/10.1007/978-3-030-99527-0_19openalex-snapshot

Automatic Repair for Network Programs

inferred← citeshttps://doi.org/10.1007/978-3-031-10542-5_6openalex-snapshot

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

inferred← citeshttps://doi.org/10.1007/978-3-031-72344-5_27openalex-snapshot

Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models

inferred← citeshttps://doi.org/10.1007/978-3-031-90310-6_32openalex-snapshot

Machine Learning Techniques for Automatic Program Repair: A Systematic Literature Mapping

inferred← citeshttps://doi.org/10.1007/978-3-032-00828-2_11openalex-snapshot

Investigating the OOV Problem and Its Impacts on Neural Program Repair

inferred← citeshttps://doi.org/10.1007/978-3-032-21600-7_6openalex-snapshot

Automated Program Repair Based on Large Language Model and Mask Templates

inferred← citeshttps://doi.org/10.1007/978-981-97-3442-9_34openalex-snapshot

Fine-Tuning CodeLlama to Fix Bugs

inferred← citeshttps://doi.org/10.1007/s00236-023-00438-4openalex-snapshot

Toward a theory of program repair

inferred← citeshttps://doi.org/10.1007/s10207-025-00992-7openalex-snapshot

Large language models for software vulnerability detection: a guide for researchers on models, methods, techniques, datasets, and metrics

inferred← citeshttps://doi.org/10.1007/s10515-025-00512-wopenalex-snapshot

Context-aware prompting for LLM-based program repair

inferred← citeshttps://doi.org/10.1007/s10515-025-00549-xopenalex-snapshot

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

inferred← citeshttps://doi.org/10.1007/s10515-026-00611-2openalex-snapshot

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

inferred← citeshttps://doi.org/10.1007/s10586-024-04490-8openalex-snapshot

Investigating large language models capabilities for automatic code repair in Python

inferred← citeshttps://doi.org/10.1007/s10664-021-09942-yopenalex-snapshot

Learning lenient parsing & typing via indirect supervision

inferred← citeshttps://doi.org/10.1007/s10664-021-10083-5openalex-snapshot

A fine-grained data set and analysis of tangling in bug fixing commits

inferred← citeshttps://doi.org/10.1007/s10664-022-10223-5openalex-snapshot

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

inferred← citeshttps://doi.org/10.1007/s10664-023-10320-zopenalex-snapshot

What kinds of contracts do ML APIs need?

inferred← citeshttps://doi.org/10.1007/s10664-023-10415-7openalex-snapshot

APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities

inferred← citeshttps://doi.org/10.1007/s10664-023-10438-0openalex-snapshot

An empirical study of untangling patterns of two-class dependency cycles

inferred← citeshttps://doi.org/10.1007/s10664-025-10731-0openalex-snapshot

DeepCodeProbe: Evaluating Code Representation Quality in Models Trained on Code

inferred← citeshttps://doi.org/10.1007/s10664-025-10790-3openalex-snapshot

RunBugRun: An executable dataset for automated program repair

inferred← citeshttps://doi.org/10.1007/s10664-026-10871-xopenalex-snapshot

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

inferred← citeshttps://doi.org/10.1007/s10664-026-10940-1openalex-snapshot

CGARF: a causality-guided framework for reliable automated program repair

inferred← citeshttps://doi.org/10.1007/s10994-021-06078-4openalex-snapshot

The flowing nature matters: feature learning from the control flow graph of source code for bug localization

inferred← citeshttps://doi.org/10.1007/s11219-022-09611-3openalex-snapshot

Utilizing source code syntax patterns to detect bug inducing commits using machine learning models

inferred← citeshttps://doi.org/10.1007/s11219-025-09709-4openalex-snapshot

Adversarial patch generation for automated program repair

inferred← citeshttps://doi.org/10.1007/s11219-025-09728-1openalex-snapshot

ReAPR: Automatic program repair via retrieval-augmented large language models

inferred← citeshttps://doi.org/10.1007/s11432-022-3803-9openalex-snapshot

When debugging encounters artificial intelligence: state of the art and open challenges

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132154openalex-snapshot

Self-bootstrapping automated program repair: using LLMs to generate and evaluate synthetic training data for bug repair

inferred← citeshttps://doi.org/10.1016/j.future.2024.107671openalex-snapshot

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

inferred← citeshttps://doi.org/10.1016/j.infsof.2021.106765openalex-snapshot

Review4Repair: Code review aided automatic program repairing

inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107376openalex-snapshot

Towards automating self-admitted technical debt repayment

inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108181openalex-snapshot

Automated Program Repair using Quantized Language Models and Parameter-Efficient Fine-Tuning

inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108344openalex-snapshot

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

inferred← citeshttps://doi.org/10.1016/j.jss.2023.111934openalex-snapshot

A survey on machine learning techniques applied to source code

inferred← citeshttps://doi.org/10.1016/j.jss.2024.112083openalex-snapshot

T5APR: Empowering automated program repair across languages through checkpoint ensemble

inferred← citeshttps://doi.org/10.1016/j.jss.2025.112590openalex-snapshot

The icing on the cake: Enhancing Code Pre-trained models-based program repair with multi-source inputs and fix templates

inferred← citeshttps://doi.org/10.1016/j.jss.2026.112888openalex-snapshot

An end-to-end approach for fixing concurrency bugs via SHB-based context extractor

inferred← citeshttps://doi.org/10.1108/ftrob-05-2025-0083openalex-snapshot

Formal methods in robot end user development: progress, gaps, and opportunities

inferred← citeshttps://doi.org/10.1109/apr66717.2025.00009openalex-snapshot

FusionRepair: Iterative Multi-Line APR via Fusion

inferred← citeshttps://doi.org/10.1109/apsec51365.2020.00015openalex-snapshot

Understanding the Non-Repairability Factors of Automated Program Repair Techniques

inferred← citeshttps://doi.org/10.1109/ase.2019.00147openalex-snapshot

Improving Patch Quality by Enhancing Key Components of Automatic Program Repair

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678622openalex-snapshot

DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00012openalex-snapshot

ExpressAPR: Efficient Patch Validation for Java Automated Program Repair Systems

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00047openalex-snapshot

The Plastic Surgery Hypothesis in the Era of Large Language Models

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00063openalex-snapshot

Gamma: Revisiting Template-Based Automated Program Repair Via Mask Prediction

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00104openalex-snapshot

How to Train Your Neural Bug Detector: Artificial vs Real Bugs

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00176openalex-snapshot

An Automated and Flexible Multilingual Bug-Fix Dataset Construction System

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00181openalex-snapshot

An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00199openalex-snapshot

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes

inferred← citeshttps://doi.org/10.1109/ase63991.2025.00187openalex-snapshot

Automated Repair of OpenID Connect Programs

inferred← citeshttps://doi.org/10.1109/cgo53902.2022.9741261openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/compsac69091.2026.00056openalex-snapshot

TraceStructRepair: Effective Diagnostic Representation for Context-Limited 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/icpads60453.2023.00089openalex-snapshot

Automatic Program Repair via Learning Edits on Sequence Code Property Graph

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/icse48619.2023.00126openalex-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/icse48619.2023.00181openalex-snapshot

On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00182openalex-snapshot

Source Code Recommender Systems: The Practitioners' Perspective

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/icse55347.2025.00022openalex-snapshot

RustAssistant: Using LLMs to Fix Compilation Errors in Rust Code

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/icsme58846.2023.00067openalex-snapshot

Bugsplainer: Leveraging Code Structures to Explain Software Bugs with Neural Machine Translation

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/icst57152.2023.00018openalex-snapshot

Embedding Context as Code Dependencies for Neural Program Repair

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/iwceaa63616.2024.10823767openalex-snapshot

MCFOF: Multi-Compilation Fusion Optimization Framework using ROSE Compiler Infrastructure

inferred← citeshttps://doi.org/10.1109/msec.2022.3176058openalex-snapshot

Machine Learning for Source Code Vulnerability Detection: What Works and What Isn’t There Yet

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/saner50967.2021.00018openalex-snapshot

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

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

Slice-Based Code Change Representation Learning

inferred← citeshttps://doi.org/10.1109/saner56733.2023.00043openalex-snapshot

MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation

inferred← citeshttps://doi.org/10.1109/saner60148.2024.00075openalex-snapshot

Reducing False Positives of Static Bug Detectors Through Code Representation Learning

inferred← citeshttps://doi.org/10.1109/saner60148.2024.00094openalex-snapshot

Labelrepair: Sequence Labelling for Compilation Errors Repair

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/saner64311.2025.00088openalex-snapshot

IFKG: An Intelligent Fault Diagnosis Tool with Knowledge Graph and Generative LLM

inferred← citeshttps://doi.org/10.1109/scam59687.2023.00020openalex-snapshot

Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work?

inferred← citeshttps://doi.org/10.1109/scam63643.2024.00011openalex-snapshot

An Empirical Analysis of Git Commit Logs for Potential Inconsistency in Code Clones

inferred← citeshttps://doi.org/10.1109/seaa64295.2024.00020openalex-snapshot

Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair

inferred← citeshttps://doi.org/10.1109/sp61157.2025.00136openalex-snapshot

PFortifier: Mitigating PHP Object Injection Through Automatic Patch Generation

inferred← citeshttps://doi.org/10.1109/tnse.2026.3653678openalex-snapshot

DroneTest-Copilot: LLM-Powered Automated Detection and Repair of Flaws in Drone Autotest Suites

inferred← citeshttps://doi.org/10.1109/tr.2022.3140453openalex-snapshot

Feature-FL: Feature-Based Fault Localization

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.2022.3147265openalex-snapshot

Neural Transfer Learning for Repairing Security Vulnerabilities in C Code

inferred← citeshttps://doi.org/10.1109/tse.2022.3156637openalex-snapshot

SeqTrans: Automatic Vulnerability Fix Via Sequence to Sequence 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.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.2026.3668601openalex-snapshot

Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models

inferred← citeshttps://doi.org/10.1109/tse.2026.3682711openalex-snapshot

Automated Repair of Alloy Specifications in the Era of Large Language Models

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

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

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

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

inferred← citeshttps://doi.org/10.1145/3324884.3416545openalex-snapshot

Problems and opportunities in training deep learning software systems

inferred← citeshttps://doi.org/10.1145/3377812.3382172openalex-snapshot

Improving bug detection and fixing via code representation learning

inferred← citeshttps://doi.org/10.1145/3395363.3397369openalex-snapshot

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

inferred← citeshttps://doi.org/10.1145/3416506.3423581openalex-snapshot

Representation learning for software engineering and programming languages

inferred← citeshttps://doi.org/10.1145/3460348openalex-snapshot

Neural software analysis

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

A syntax-guided edit decoder for neural program repair

inferred← citeshttps://doi.org/10.1145/3468854openalex-snapshot

SPI: Automated Identification of Security Patches via Commits

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

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

inferred← citeshttps://doi.org/10.1145/3503222.3507748openalex-snapshot

HeteroGen: transpiling C to heterogeneous HLS code with automated test generation and program repair

inferred← citeshttps://doi.org/10.1145/3510003.3510067openalex-snapshot

AutoTransform

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/10.1145/3511096openalex-snapshot

Predicting Patch Correctness Based on the Similarity of Failing Test Cases

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/10.1145/3524842.3528433openalex-snapshot

On the use of fine-grained vulnerable code statements for software vulnerability assessment models

inferred← citeshttps://doi.org/10.1145/3524842.3528480openalex-snapshot

FixJS

inferred← citeshttps://doi.org/10.1145/3527330openalex-snapshot

Bugs in Quantum computing platforms: an empirical study

inferred← citeshttps://doi.org/10.1145/3533767.3534219openalex-snapshot

CIRCLE: continual repair across programming languages

inferred← citeshttps://doi.org/10.1145/3540250.3549085openalex-snapshot

Fuzzing deep-learning libraries via automated relational API inference

inferred← citeshttps://doi.org/10.1145/3540250.3549098openalex-snapshot

VulRepair: a T5-based automated software vulnerability repair

inferred← citeshttps://doi.org/10.1145/3540250.3558967openalex-snapshot

An empirical study of deep transfer learning-based program repair for Kotlin projects

inferred← citeshttps://doi.org/10.1145/3545258.3545268openalex-snapshot

Neural Program Repair : Systems, Challenges and Solutions

inferred← citeshttps://doi.org/10.1145/3545258.3545286openalex-snapshot

Enhanced Evolutionary Automated Program Repair by Finer-Granularity Ingredients and Better Search Algorithms

inferred← citeshttps://doi.org/10.1145/3551349.3556893openalex-snapshot

TransplantFix: Graph Differencing-based Code Transplantation for Automated Program Repair

inferred← citeshttps://doi.org/10.1145/3551349.3556914openalex-snapshot

Is this Change the Answer to that Problem?

inferred← citeshttps://doi.org/10.1145/3551349.3556943openalex-snapshot

StandUp4NPR: Standardizing SetUp for Empirically Comparing Neural Program Repair Systems

inferred← citeshttps://doi.org/10.1145/3551349.3556944openalex-snapshot

ICEBAR: Feedback-Driven Iterative Repair of Alloy Specifications

inferred← citeshttps://doi.org/10.1145/3551349.3559544openalex-snapshot

Next Syntactic-Unit Code Completion and Applications

inferred← citeshttps://doi.org/10.1145/3551349.3560422openalex-snapshot

TransRepair: Context-aware Program Repair for Compilation Errors

inferred← citeshttps://doi.org/10.1145/3561382openalex-snapshot

Seeing the Whole Elephant: Systematically Understanding and Uncovering Evaluation Biases in Automated Program Repair

inferred← citeshttps://doi.org/10.1145/3579637openalex-snapshot

Reliable Fix Patterns Inferred from Static Checkers for Automated Program Repair

inferred← citeshttps://doi.org/10.1145/3597503.3608132openalex-snapshot

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors

inferred← citeshttps://doi.org/10.1145/3597503.3623337openalex-snapshot

ITER: Iterative Neural Repair for Multi-Location Patches

inferred← citeshttps://doi.org/10.1145/3597503.3623338openalex-snapshot

Predicting Performance and Accuracy of Mixed-Precision Programs for Precision Tuning

inferred← citeshttps://doi.org/10.1145/3597503.3623351openalex-snapshot

Toward Automatically Completing GitHub Workflows

inferred← citeshttps://doi.org/10.1145/3597503.3639086openalex-snapshot

Out of Context: How important is Local Context in Neural Program Repair?

inferred← citeshttps://doi.org/10.1145/3597617openalex-snapshot

Evolving Software: Combining Online Learning with Mutation-Based Stochastic Search

inferred← citeshttps://doi.org/10.1145/3597926.3598101openalex-snapshot

Automated Program Repair from Fuzzing Perspective

inferred← citeshttps://doi.org/10.1145/3611643.3613892openalex-snapshot

InferFix: End-to-End Program Repair with LLMs

inferred← citeshttps://doi.org/10.1145/3611643.3616267openalex-snapshot

From Leaks to Fixes: Automated Repairs for Resource Leak Warnings

inferred← citeshttps://doi.org/10.1145/3611643.3616271openalex-snapshot

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair

inferred← citeshttps://doi.org/10.1145/3611643.3616331openalex-snapshot

A Large-Scale Empirical Review of Patch Correctness Checking Approaches

inferred← citeshttps://doi.org/10.1145/3623476.3623522openalex-snapshot

GPT-3-Powered Type Error Debugging: Investigating the Use of Large Language Models for Code Repair

inferred← citeshttps://doi.org/10.1145/3631972openalex-snapshot

Improving Automated Program Repair with Domain Adaptation

inferred← citeshttps://doi.org/10.1145/3631974openalex-snapshot

A Survey of Learning-based Automated Program Repair

inferred← citeshttps://doi.org/10.1145/3632746openalex-snapshot

Vision Transformer Inspired Automated Vulnerability Repair

inferred← citeshttps://doi.org/10.1145/3641846openalex-snapshot

sGuard+: Machine Learning Guided Rule-Based Automated Vulnerability Repair on Smart Contracts

inferred← citeshttps://doi.org/10.1145/3643753openalex-snapshot

Natural Is the Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models

inferred← citeshttps://doi.org/10.1145/3643788.3648021openalex-snapshot

Automated Program Repair with the GPT Family, including GPT-2, GPT-3 and CodeX

inferred← citeshttps://doi.org/10.1145/3643991.3644871openalex-snapshot

Hash4Patch: A Lightweight Low False Positive Tool for Finding Vulnerability Patch Commits

inferred← citeshttps://doi.org/10.1145/3650212.3680359openalex-snapshot

ThinkRepair: Self-Directed Automated Program Repair

inferred← citeshttps://doi.org/10.1145/3650212.3680368openalex-snapshot

SelfPiCo: Self-Guided Partial Code Execution with LLMs

inferred← citeshttps://doi.org/10.1145/3650212.3680381openalex-snapshot

One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair

inferred← citeshttps://doi.org/10.1145/3650400.3650676openalex-snapshot

Code Defect Detection Model with Multi-layer Bi-directional Long Short Term Memory based on Self-Attention Mechanism

inferred← citeshttps://doi.org/10.1145/3654441openalex-snapshot

MTL-TRANSFER: Leveraging Multi-task Learning and Transferred Knowledge for Improving Fault Localization and Program Repair

inferred← citeshttps://doi.org/10.1145/3660828openalex-snapshot

Detecting, Creating, Repairing, and Understanding Indivisible Multi-Hunk Bugs

inferred← citeshttps://doi.org/10.1145/3664646.3664770openalex-snapshot

A Case Study of LLM for Automated Vulnerability Repair: Assessing Impact of Reasoning and Patch Validation Feedback

inferred← citeshttps://doi.org/10.1145/3672450openalex-snapshot

When Automated Program Repair Meets Regression Testing—An Extensive Study on Two Million Patches

inferred← citeshttps://doi.org/10.1145/3691620.3695019openalex-snapshot

DRMiner: Extracting Latent Design Rationale from Jira Issue Logs

inferred← citeshttps://doi.org/10.1145/3691620.3695537openalex-snapshot

Enhancing Automated Program Repair with Solution Design

inferred← citeshttps://doi.org/10.1145/3691620.3695555openalex-snapshot

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair

inferred← citeshttps://doi.org/10.1145/3691620.3695602openalex-snapshot

Enhancing the Efficiency of Automated Program Repair via Greybox Analysis

inferred← citeshttps://doi.org/10.1145/3696450openalex-snapshot

Evolving Paradigms in Automated Program Repair: Taxonomy, Challenges, and Opportunities

inferred← citeshttps://doi.org/10.1145/3702972openalex-snapshot

Patch Correctness Assessment: A Survey

inferred← citeshttps://doi.org/10.1145/3705302openalex-snapshot

Context-based Transfer Learning for Structuring Fault Localization and Program Repair Automation

inferred← citeshttps://doi.org/10.1145/3708519openalex-snapshot

Automatic Programming: Large Language Models and Beyond

inferred← citeshttps://doi.org/10.1145/3712190openalex-snapshot

AI for DevSecOps: A Landscape and Future Opportunities

inferred← citeshttps://doi.org/10.1145/3715004openalex-snapshot

Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis

inferred← citeshttps://doi.org/10.1145/3720510openalex-snapshot

Show Me Why It’s Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison

inferred← citeshttps://doi.org/10.1145/3728939openalex-snapshot

AdverIntent-Agent: Adversarial Reasoning for Repair Based on Inferred Program Intent

inferred← citeshttps://doi.org/10.1145/3729387openalex-snapshot

A Causal Learning Framework for Enhancing Robustness of Source Code Models

inferred← citeshttps://doi.org/10.1145/3744916.3773265openalex-snapshot

From Seed to Scope: Reasoning to Identify Change Impact Sets

inferred← citeshttps://doi.org/10.1145/3744916.3773269openalex-snapshot

LLM-based Agents for Automated Bug Fixing: How Far Are We?

inferred← citeshttps://doi.org/10.1145/3763097openalex-snapshot

PReMM: LLM-Based Program Repair for Multi-method Bugs via Divide and Conquer

inferred← citeshttps://doi.org/10.1145/3796704openalex-snapshot

A Large-Scale Empirical Evaluation of LLMs for Automated Self-Admitted Technical Debt Repayment

inferred← citeshttps://doi.org/10.1145/3797261openalex-snapshot

Towards an Understanding of Context Utilization in Code Intelligence

inferred← citeshttps://doi.org/10.1145/3811825openalex-snapshot

FURINA: A Multi-Agent Framework for Automated Patch Correctness Assessment

inferred← citeshttps://doi.org/10.1145/3832783.3834511openalex-snapshot

Catching Developers in the Flow: Low-Latency Agentic Program Repair at Google Scale

inferred← citeshttps://doi.org/10.1145/3832783.3834526openalex-snapshot

InfraAPR: An Agent-Based Repair Framework for Cloud Infrastructure-as-Code Programs

inferred← citeshttps://doi.org/10.1145/3832783.3837423openalex-snapshot

LaMAR: Latent Multi-agent Collaboration via KV-Cache Communication for Automated Program Repair

inferred← citeshttps://doi.org/10.1145/3837729.3840485openalex-snapshot

CoCoMUT: A Tool for Code-Context Mining and Automated Dataset Generation

inferred← citeshttps://doi.org/10.1177/2167647x261428016openalex-snapshot

MuTemAPR: Enhance Multilocation Patches with Template-Based Neural Program Repair

inferred← citeshttps://doi.org/10.26226/morressier.613b5418842293c031b5b5e6openalex-snapshot

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

inferred← citeshttps://doi.org/10.3390/math14061072openalex-snapshot

A Zero-Touch Vulnerability Remediation Framework Based on OpenVAS, Threat Intelligence, and RAG-Enhanced Large Language Models

inferred← citeshttps://doi.org/10.36244/icj.2023.5.1openalex-snapshot

Deep Learning-Based Refactoring with Formally Verified Training Data

inferred← citeshttps://doi.org/10.46723/ojse.1.1.1openalex-snapshot

Software Testing or The Bugs’ Nightmare

inferred← citeshttps://doi.org/10.48550/arxiv.2104.14671openalex-snapshot

SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics

inferred← citeshttps://doi.org/10.48550/arxiv.2105.07311openalex-snapshot

When Automated Program Repair Meets Regression Testing -- An Extensive Study on 2 Million Patches

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