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Evolving Paradigms in Automated Program Repair: Taxonomy, Challenges, and Opportunities
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-11245-5_4openalex-snapshot
Automatic Program Repair Using Formal Verification and Expression Templates
inferredcites →https://doi.org/10.1007/978-3-319-21668-3_13openalex-snapshot
Deductive Program Repair
inferredcites →https://doi.org/10.1007/978-3-319-48989-6_36openalex-snapshot
Sound and Complete Mutation-Based Program Repair
inferredcites →https://doi.org/10.1007/s10664-008-9077-5openalex-snapshot
Toward an understanding of bug fix patterns
inferredcites →https://doi.org/10.1007/s10664-013-9282-8openalex-snapshot
Mining software repair models for reasoning on the search space of automated program fixing
inferredcites →https://doi.org/10.1007/s10664-017-9577-2openalex-snapshot
Overfitting in semantics-based automated program repair
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/s10664-019-09780-zopenalex-snapshot
FixMiner: Mining relevant fix patterns for automated program repair
inferredcites →https://doi.org/10.1007/s10664-020-09920-wopenalex-snapshot
Automated patch assessment for program repair at scale
inferredcites →https://doi.org/10.1007/s10664-022-10223-5openalex-snapshot
A controlled experiment of different code representations for learning-based program repair
inferredcites →https://doi.org/10.1016/j.jss.2020.110817openalex-snapshot
A critical review on the evaluation of automated program repair systems
inferredcites →https://doi.org/10.1109/ase.2013.6693094openalex-snapshot
Leveraging program equivalence for adaptive program repair: Models and first results
inferredcites →https://doi.org/10.1109/ase.2015.60openalex-snapshot
Repairing Programs with Semantic Code Search (T)
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/ase.2017.8115676openalex-snapshot
Leveraging syntax-related code for automated program repair
inferredcites →https://doi.org/10.1109/ase.2019.00033openalex-snapshot
Inferring Program Transformations From Singular Examples via Big Code
inferredcites →https://doi.org/10.1109/ase56229.2023.00047openalex-snapshot
The Plastic Surgery Hypothesis in the Era of Large Language Models
inferredcites →https://doi.org/10.1109/ase56229.2023.00063openalex-snapshot
Gamma: Revisiting Template-Based Automated Program Repair Via Mask Prediction
inferredcites →https://doi.org/10.1109/ase56229.2023.00125openalex-snapshot
An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models
inferredcites →https://doi.org/10.1109/ase56229.2023.00181openalex-snapshot
An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair
inferredcites →https://doi.org/10.1109/icse-seip.2019.00039openalex-snapshot
SapFix: Automated End-to-End Repair at Scale
inferredcites →https://doi.org/10.1109/icse.2009.5070536openalex-snapshot
Automatically finding patches using genetic programming
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.2015.63openalex-snapshot
DirectFix: Looking for Simple Program Repairs
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/icse.2019.00063openalex-snapshot
VFix: Value-Flow-Guided Precise Program Repair for Null Pointer Dereferences
inferredcites →https://doi.org/10.1109/icse43902.2021.00104openalex-snapshot
Fast and Precise On-the-Fly Patch Validation for All
inferredcites →https://doi.org/10.1109/icse43902.2021.00107openalex-snapshot
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
inferredcites →https://doi.org/10.1109/icse48619.2023.00111openalex-snapshot
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
inferredcites →https://doi.org/10.1109/icse48619.2023.00112openalex-snapshot
Rete: Learning Namespace Representation for Program Repair
inferredcites →https://doi.org/10.1109/icse48619.2023.00125openalex-snapshot
Impact of Code Language Models on Automated Program Repair
inferredcites →https://doi.org/10.1109/icse48619.2023.00126openalex-snapshot
Tare: Type-Aware Neural Program Repair
inferredcites →https://doi.org/10.1109/icse48619.2023.00127openalex-snapshot
Template-based Neural Program Repair
inferredcites →https://doi.org/10.1109/icse48619.2023.00128openalex-snapshot
Automated Repair of Programs from Large Language Models
inferredcites →https://doi.org/10.1109/icse48619.2023.00129openalex-snapshot
Automated Program Repair in the Era of Large Pre-trained Language Models
inferredcites →https://doi.org/10.1109/icst.2010.66openalex-snapshot
Using Mutation to Automatically Suggest Fixes for Faulty Programs
inferredcites →https://doi.org/10.1109/icst.2014.40openalex-snapshot
An Assessment of the Quality of Automated Program Operator Repair
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/icst46399.2020.00036openalex-snapshot
Human-In-The-Loop Automatic Program Repair
inferredcites →https://doi.org/10.1109/icst49551.2021.00032openalex-snapshot
Automatic Program Repair as Semantic Suggestions: An Empirical Study
inferredcites →https://doi.org/10.1109/icst49551.2021.00033openalex-snapshot
Exploring True Test Overfitting in Dynamic Automated Program Repair using Formal Methods
inferredcites →https://doi.org/10.1109/icst57152.2023.00018openalex-snapshot
Embedding Context as Code Dependencies for Neural 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.2019.8668043openalex-snapshot
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
inferredcites →https://doi.org/10.1109/saner50967.2021.00018openalex-snapshot
Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair
inferredcites →https://doi.org/10.1109/saner50967.2021.00035openalex-snapshot
On the Impact of Flaky Tests in Automated Program Repair
inferredcites →https://doi.org/10.1109/saner53432.2022.00096openalex-snapshot
Can We Automatically Fix Bugs by Learning Edit Operations?
inferredcites →https://doi.org/10.1109/sp46215.2023.10179324openalex-snapshot
Examining Zero-Shot Vulnerability Repair with Large Language Models
inferredcites →https://doi.org/10.1109/tpami.2021.3079209openalex-snapshot
Meta-Learning in Neural Networks: A Survey
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.2014.2312918openalex-snapshot
Automated Fixing of Programs with Contracts
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.2018.2884955openalex-snapshot
Mining Fix Patterns for FindBugs Violations
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/10.1109/tse.2019.2944914openalex-snapshot
SOSRepair: Expressive Semantic Search for Real-World Program Repair
inferredcites →https://doi.org/10.1109/tse.2020.2970009openalex-snapshot
Contract-Based Program Repair Without The Contracts: An Extended Study
inferredcites →https://doi.org/10.1109/tse.2020.2987862openalex-snapshot
Restore: Retrospective Fault Localization Enhancing Automated Program Repair
inferredcites →https://doi.org/10.1109/tse.2021.3124323openalex-snapshot
Trident: Controlling Side Effects in Automated Program Repair
inferredcites →https://doi.org/10.1109/tse.2022.3147265openalex-snapshot
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code
inferredcites →https://doi.org/10.1109/tse.2022.3156637openalex-snapshot
SeqTrans: Automatic Vulnerability Fix Via Sequence to Sequence Learning
inferredcites →https://doi.org/10.1109/tse.2022.3164662openalex-snapshot
Program Repair With Repeated Learning
inferredcites →https://doi.org/10.1145/2568225.2568324openalex-snapshot
A critical review of "automatic patch generation learned from human-written patches": essay on the problem statement and the evaluation of automatic software repair
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/10.1145/2786805.2786825openalex-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/10.1145/2914770.2837617openalex-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/10.1145/3106237.3106253openalex-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/10.1145/3106237.3106309openalex-snapshot
S3: syntax- and semantic-guided repair synthesis via programming by examples
inferredcites →https://doi.org/10.1145/3180155.3180233openalex-snapshot
Context-aware patch generation for better automated program repair
inferredcites →https://doi.org/10.1145/3180155.3180245openalex-snapshot
Towards practical program repair with on-demand candidate generation
inferredcites →https://doi.org/10.1145/3180155.3180247openalex-snapshot
Semantic program repair using a reference implementation
inferredcites →https://doi.org/10.1145/3180155.3180250openalex-snapshot
Static automated program repair for heap properties
inferredcites →https://doi.org/10.1145/3213846.3213871openalex-snapshot
Shaping program repair space with existing patches and similar code
inferredcites →https://doi.org/10.1145/3236024.3236079openalex-snapshot
MemFix: static analysis-based repair of memory deallocation errors for C
inferredcites →https://doi.org/10.1145/3241980openalex-snapshot
Test-Equivalence Analysis for Automatic Patch Generation
inferredcites →https://doi.org/10.1145/3293882.3330559openalex-snapshot
Practical program repair via bytecode mutation
inferredcites →https://doi.org/10.1145/3293882.3330577openalex-snapshot
TBar: revisiting template-based automated program repair
inferredcites →https://doi.org/10.1145/3324884.3416590openalex-snapshot
Automated patch correctness assessment
inferredcites →https://doi.org/10.1145/3338906.3338911openalex-snapshot
Empirical review of Java program repair tools: a large-scale experiment on 2,141 bugs and 23,551 repair attempts
inferredcites →https://doi.org/10.1145/3338906.3338935openalex-snapshot
iFixR: bug report driven program 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/10.1145/3360004openalex-snapshot
Toward Better Evolutionary Program Repair
inferredcites →https://doi.org/10.1145/3360585openalex-snapshot
Getafix: learning to fix bugs automatically
inferredcites →https://doi.org/10.1145/3377811.3380338openalex-snapshot
On the efficiency of test suite based program repair
inferredcites →https://doi.org/10.1145/3377811.3380429openalex-snapshot
On learning meaningful assert statements for unit test cases
inferredcites →https://doi.org/10.1145/3395363.3397351openalex-snapshot
Can automated program repair refine fault localization? a unified debugging approach
inferredcites →https://doi.org/10.1145/3395363.3397369openalex-snapshot
CoCoNuT: combining context-aware neural translation models using ensemble for program repair
inferredcites →https://doi.org/10.1145/3468264.3468544openalex-snapshot
A syntax-guided edit decoder for neural program repair
inferredcites →https://doi.org/10.1145/3468264.3468600openalex-snapshot
VarFix: balancing edit expressiveness and search effectiveness in automated program repair
inferredcites →https://doi.org/10.1145/3487570openalex-snapshot
L2S: A Framework for Synthesizing the Most Probable Program under a Specification
inferredcites →https://doi.org/10.1145/3510003.3510117openalex-snapshot
Towards boosting patch execution on-the-fly
inferredcites →https://doi.org/10.1145/3510003.3510147openalex-snapshot
Improving fault localization and program repair with deep semantic features and transferred knowledge
inferredcites →https://doi.org/10.1145/3510003.3510222openalex-snapshot
Neural program repair with execution-based backpropagation
inferredcites →https://doi.org/10.1145/3533767.3534219openalex-snapshot
CIRCLE: continual repair across programming languages
inferredcites →https://doi.org/10.1145/3533767.3534387openalex-snapshot
Program vulnerability repair via inductive inference
inferredcites →https://doi.org/10.1145/3540250.3549098openalex-snapshot
VulRepair: a T5-based automated software vulnerability repair
inferredcites →https://doi.org/10.1145/3540250.3549101openalex-snapshot
Less training, more repairing please: revisiting automated program repair via zero-shot learning
inferredcites →https://doi.org/10.1145/3540250.3549130openalex-snapshot
PyTER: effective program repair for Python type errors
inferredcites →https://doi.org/10.1145/3540250.3558967openalex-snapshot
An empirical study of deep transfer learning-based program repair for Kotlin projects
inferredcites →https://doi.org/10.1145/3551349.3556926openalex-snapshot
SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics
inferredcites →https://doi.org/10.1145/3551349.3556943openalex-snapshot
StandUp4NPR: Standardizing SetUp for Empirically Comparing Neural Program Repair Systems
inferredcites →https://doi.org/10.1145/3551349.3560422openalex-snapshot
TransRepair: Context-aware Program Repair for Compilation Errors
inferredcites →https://doi.org/10.1145/3561382openalex-snapshot
Seeing the Whole Elephant: Systematically Understanding and Uncovering Evaluation Biases in Automated Program Repair
inferredcites →https://doi.org/10.1145/3579637openalex-snapshot
Reliable Fix Patterns Inferred from Static Checkers for Automated Program Repair
inferredcites →https://doi.org/10.1145/3579640openalex-snapshot
Katana : Dual Slicing Based Context for Learning Bug Fixes
inferredcites →https://doi.org/10.1145/3597503.3608132openalex-snapshot
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors
inferredcites →https://doi.org/10.1145/3597503.3623310openalex-snapshot
Practical Program Repair via Preference-based Ensemble Strategy
inferredcites →https://doi.org/10.1145/3597503.3623337openalex-snapshot
ITER: Iterative Neural Repair for Multi-Location Patches
inferredcites →https://doi.org/10.1145/3597926.3598135openalex-snapshot
How Effective Are Neural Networks for Fixing Security Vulnerabilities
inferredcites →https://doi.org/10.1145/3611643.3613892openalex-snapshot
InferFix: End-to-End Program Repair with LLMs
inferredcites →https://doi.org/10.1145/3611643.3616256openalex-snapshot
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair
inferredcites →https://doi.org/10.1145/3611643.3616271openalex-snapshot
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair
inferredcites →https://doi.org/10.1145/3611643.3616363openalex-snapshot
Program Repair Guided by Datalog-Defined Static Analysis
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/10.1016/j.jss.2026.112921openalex-snapshot
PrevaRank: Ranking plausible patches by historic feature frequencies
inferred← citeshttps://doi.org/10.1016/j.jss.2026.113101openalex-snapshot
Toward effective LLM-based Automated Program Repair: A taxonomy of prompting strategies and key trends, insights, and challenges
inferred← citeshttps://doi.org/10.1109/access.2026.3663331openalex-snapshot
Prompt Engineering for Advancing Software Engineering: Using Generative Language Models in the Development of Domain-Specific Languages
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00100openalex-snapshot
Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Repair
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00137openalex-snapshot
Characterizing Multi-Hunk Patches: Divergence, Proximity, and LLM Repair Challenges
inferred← citeshttps://doi.org/10.1109/iwqos65803.2025.11143362openalex-snapshot
REP4: Automated Testing and Repairing Programmable Data Planes
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/wsai70435.2026.11708641openalex-snapshot
A Cognitive Architecture for LLM-Based Automated Program Repair
inferred← citeshttps://doi.org/10.1111/exsy.70400openalex-snapshot
SCAgent : An LLM ‐Based Agent With State‐Aware Coordination for Automated Program Repair
inferred← citeshttps://doi.org/10.1145/3742876openalex-snapshot
Proceedings of the 24th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences
inferred← citeshttps://doi.org/10.1145/3742876.3742881openalex-snapshot
Comparative Analysis of Pre-trained Code Language Models for Automated Program Repair via Code Infill Generation
inferred← citeshttps://doi.org/10.1145/3796315.3796331openalex-snapshot
Toward Responsible Autonomy: The Opportunities and Obstacles of Large Language Models in Software Engineering
inferred← citeshttps://doi.org/10.1145/3798054openalex-snapshot
Every Maintenance Has Its Exemplar: The Future of Software Maintenance through Migration
inferred← citeshttps://doi.org/10.1145/3832783.3834442openalex-snapshot
Optimization-Free Repair of Code LLMs: A Closed-Form Fisher-Guided Bayesian Approach
inferred← citeshttps://doi.org/10.3389/fcomp.2025.1655469openalex-snapshot
A dual perspective review on large language models and code verification
inferred← citeshttps://doi.org/10.55056/ceur-ws.org/vol-4053/s_5_shynkarenko_zhevaho.pdfopenalex-snapshot
A Taxonomy of Software Debugging Process
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