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Predicting Patch Correctness Based on the Similarity of Failing Test Cases
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Ultra-Large Repair Search Space with Automatically Mined Templates: The Cardumen Mode of Astor
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A correlation study between automated program repair and test-suite metrics
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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/10.1016/j.jss.2020.110817openalex-snapshot
A critical review on the evaluation of automated program repair systems
inferredcites →https://doi.org/10.1109/32.962562openalex-snapshot
Prioritizing test cases for regression testing
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/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/ase.2019.00099openalex-snapshot
CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation
inferredcites →https://doi.org/10.1109/ase.2019.00137openalex-snapshot
Lancer: Your Code Tell Me What You Need
inferredcites →https://doi.org/10.1109/ibf50092.2020.9034714openalex-snapshot
Utilizing Source Code Embeddings to Identify Correct Patches
inferredcites →https://doi.org/10.1109/ibf50092.2020.9034821openalex-snapshot
Exploring the Differences between Plausible and Correct Patches at Fine-Grained Level
inferredcites →https://doi.org/10.1109/icse.2009.5070536openalex-snapshot
Automatically finding patches using genetic programming
inferredcites →https://doi.org/10.1109/icse.2013.6606623openalex-snapshot
SemFix: Program repair via semantic analysis
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/icse.2019.00064openalex-snapshot
On Reliability of Patch Correctness Assessment
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/icsm.2013.29openalex-snapshot
Efficient Automated Program Repair through Fault-Recorded Testing Prioritization
inferredcites →https://doi.org/10.1109/icsme.2016.66openalex-snapshot
Enhancing Automated Program Repair with Deductive Verification
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/saner.2018.8330202openalex-snapshot
Mining stackoverflow for program repair
inferredcites →https://doi.org/10.1109/saner.2018.8330203openalex-snapshot
Dissection of a bug dataset: Anatomy of 395 patches from Defects4J
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/saner48275.2020.9054830openalex-snapshot
A Code-Description Representation Learning Model Based on Attention
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.2016.2560811openalex-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.2021.3071750openalex-snapshot
Automated Classification of Overfitting Patches With Statically Extracted Code Features
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/10.1145/2786805.2786825openalex-snapshot
Is the cure worse than the disease? overfitting in automated program repair
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/10.1145/2931037.2931062openalex-snapshot
Test oracle assessment and improvement
inferredcites →https://doi.org/10.1145/2931037.2948705openalex-snapshot
ASTOR: a program repair library for Java (demo)
inferredcites →https://doi.org/10.1145/2976749.2978370openalex-snapshot
Scalable Graph-based Bug Search for Firmware Images
inferredcites →https://doi.org/10.1145/3106237.3106274openalex-snapshot
Better test cases for better automated program repair
inferredcites →https://doi.org/10.1145/3133956.3134018openalex-snapshot
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
inferredcites →https://doi.org/10.1145/3180155.3180182openalex-snapshot
Identifying patch correctness in test-based program repair
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/10.1145/3213846.3213871openalex-snapshot
Shaping program repair space with existing patches and similar code
inferredcites →https://doi.org/10.1145/3236024.3236068openalex-snapshot
DeepSim: deep learning code functional similarity
inferredcites →https://doi.org/10.1145/3236024.3275524openalex-snapshot
VulSeeker-pro: enhanced semantic learning based binary vulnerability seeker with emulation
inferredcites →https://doi.org/10.1145/3276531openalex-snapshot
Test generation for higher-order functions in dynamic languages
inferredcites →https://doi.org/10.1145/3290353openalex-snapshot
code2vec: learning distributed representations of code
inferredcites →https://doi.org/10.1145/3293882.3330558openalex-snapshot
Crash-avoiding program repair
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/10.1145/3324884.3416532openalex-snapshot
Evaluating representation learning of code changes for predicting patch correctness in program repair
inferredcites →https://doi.org/10.1145/3324884.3416590openalex-snapshot
Automated patch correctness assessment
inferredcites →https://doi.org/10.1145/3366428.3380768openalex-snapshot
Automated test generation for OpenCL kernels using fuzzing and constraint solving
inferredcites →https://doi.org/10.1145/3377811.3380338openalex-snapshot
On the efficiency of test suite based program repair
inferredcites →https://doi.org/10.1145/3387940.3392179openalex-snapshot
Interactive Patch Generation and Suggestion
inferredcites →https://doi.org/10.1145/3395363.3397362openalex-snapshot
Functional code clone detection with syntax and semantics fusion learning
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/10.1145/3480027openalex-snapshot
Opportunities and Challenges in Code Search Tools
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.v34i01.5466openalex-snapshot
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection
inferredcites →https://doi.org/10.18420/se2021_36openalex-snapshot
Probabilistic Grammar-based Test Generation
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/10.18653/v1/2021.naacl-mainopenalex-snapshot
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.4230/lipics.itp.2023.26openalex-snapshot
Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset
inferredcites →https://doi.org/10.4230/oasics.slate.2021.14openalex-snapshot
Using Machine Learning for Vulnerability Detection and Classification
inferredcites →https://doi.org/10.48550/arxiv.1711.07163openalex-snapshot
Dynamic Neural Program Embedding for Program Repair
inferredcites →https://doi.org/10.48550/arxiv.1811.05703openalex-snapshot
The Remarkable Role of Similarity in Redundancy-based Program Repair
inferredcites →https://doi.org/10.48550/arxiv.2001.02444openalex-snapshot
Learning to Encode and Classify Test Executions
inferredcites →https://doi.org/10.48550/arxiv.2002.08155openalex-snapshot
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
inferredcites →https://doi.org/10.48550/arxiv.2003.05620openalex-snapshot
CC2Vec: Distributed Representations of Code Changes
inferredcites →https://doi.org/10.5555/1283383.1283494openalex-snapshot
k-means++: the advantages of careful seeding
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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/10.1007/s10664-024-10503-2openalex-snapshot
Test-based patch clustering for automatically-generated patches assessment
inferred← citeshttps://doi.org/10.1007/s10664-025-10763-6openalex-snapshot
Learning to represent code changes
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/s11432-023-4127-5openalex-snapshot
Deep learning-based software engineering: progress, challenges, and opportunities
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100732openalex-snapshot
Characterising harmful API uses and repair techniques: Insights from a systematic review
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124877openalex-snapshot
Automated patch correctness predicting to fix software defect
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108232openalex-snapshot
AI-driven self-healing across the edge–cloud continuum: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.jss.2022.111525openalex-snapshot
Analysis of vulnerability fixing process in the presence of incorrect patches
inferred← citeshttps://doi.org/10.1016/j.jss.2026.112921openalex-snapshot
PrevaRank: Ranking plausible patches by historic feature frequencies
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00163openalex-snapshot
PreciseBugCollector: Extensible, Executable and Precise Bug-Fix Collection: Solution for Challenge 8: Automating Precise Data Collection for Code Snippets with Bugs, Fixes, Locations, and Types
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/icst60714.2024.00036openalex-snapshot
Improving Patch Correctness Analysis via Random Testing and Large Language Models
inferred← citeshttps://doi.org/10.1109/icst69053.2026.00041openalex-snapshot
Improving Automated Patch Correctness Assessment by Designing LLM-Based Oracles
inferred← citeshttps://doi.org/10.1109/saner56733.2023.00038openalex-snapshot
Slice-Based Code Change Representation Learning
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/tse.2024.3354969openalex-snapshot
APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models
inferred← citeshttps://doi.org/10.1145/3551349.3556914openalex-snapshot
Is this Change the Answer to that Problem?
inferred← citeshttps://doi.org/10.1145/3551349.3556926openalex-snapshot
SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics
inferred← citeshttps://doi.org/10.1145/3576039openalex-snapshot
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches
inferred← citeshttps://doi.org/10.1145/3624741openalex-snapshot
Variable-based Fault Localization via Enhanced Decision Tree
inferred← citeshttps://doi.org/10.1145/3625293openalex-snapshot
Poracle: Testing Patches under Preservation Conditions to Combat the Overfitting Problem of Program Repair
inferred← citeshttps://doi.org/10.1145/3631974openalex-snapshot
A Survey of Learning-based Automated Program Repair
inferred← citeshttps://doi.org/10.1145/3702972openalex-snapshot
Patch Correctness Assessment: A Survey
inferred← citeshttps://doi.org/10.1145/3712187openalex-snapshot
You Don’t Have to Say Where to Edit! jLED—Joint Learning to Localize and Edit Source Code
inferred← citeshttps://doi.org/10.1145/3715004openalex-snapshot
Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis
inferred← citeshttps://doi.org/10.1145/3763145openalex-snapshot
P³: Reasoning about Patches via Product Programs
inferred← citeshttps://doi.org/10.1145/3811825openalex-snapshot
FURINA: A Multi-Agent Framework for Automated Patch Correctness Assessment
inferred← citeshttps://doi.org/10.1587/transinf.2025mpp0005openalex-snapshot
Automatic Repair Method for Dockerfile Build Errors: Extracting Dependencies between Build Error-Inducing Instructions Based on Frequent Subtree Mining
inferred← citeshttps://doi.org/10.1609/aaai.v37i4.25654openalex-snapshot
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
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Learning-Based Automated Program Repair: A Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/diagnostics14060591openalex-snapshot
Color-Transfer-Enhanced Data Construction and Validation for Deep Learning-Based Upper Gastrointestinal Landmark Classification in Wireless Capsule Endoscopy
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