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Katana : Dual Slicing Based Context for Learning Bug Fixes
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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/s10664-019-09742-5openalex-snapshot
Automatic patch generation with context-based change application
inferredcites →https://doi.org/10.1016/j.aiopen.2021.01.001openalex-snapshot
Graph neural networks: A review of methods and applications
inferredcites →https://doi.org/10.1016/j.procs.2019.11.146openalex-snapshot
Dealing with Noise Problem in Machine Learning Data-sets: A Systematic Review
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/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/icst.2019.00019openalex-snapshot
BugsJS: a Benchmark of JavaScript Bugs
inferredcites →https://doi.org/10.1109/msr52588.2021.00063openalex-snapshot
Applying CodeBERT for Automated Program Repair of Java Simple Bugs
inferredcites →https://doi.org/10.1109/msr52588.2021.00066openalex-snapshot
PySStuBs: Characterizing Single-Statement Bugs in Popular Open-Source Python Projects
inferredcites →https://doi.org/10.1109/tse.2006.116openalex-snapshot
An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks
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.2019.2940179openalex-snapshot
SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair
inferredcites →https://doi.org/10.1145/1985793.1985828openalex-snapshot
Patching vulnerabilities with sanitization synthesis
inferredcites →https://doi.org/10.1145/1993498.1993544openalex-snapshot
Automated atomicity-violation fixing
inferredcites →https://doi.org/10.1145/227607.227610openalex-snapshot
An experimental determination of sufficient mutant operators
inferredcites →https://doi.org/10.1145/2610384.2610401openalex-snapshot
Semantic differential repair for input validation and sanitization
inferredcites →https://doi.org/10.1145/2635868.2635898openalex-snapshot
The plastic surgery hypothesis
inferredcites →https://doi.org/10.1145/3180155.3180233openalex-snapshot
Context-aware patch generation for better automated program repair
inferredcites →https://doi.org/10.1145/3188720openalex-snapshot
Lessons from building static analysis tools at Google
inferredcites →https://doi.org/10.1145/3213846.3213871openalex-snapshot
Shaping program repair space with existing patches and similar code
inferredcites →https://doi.org/10.1145/3276517openalex-snapshot
DeepBugs: a learning approach to name-based bug detection
inferredcites →https://doi.org/10.1145/3338906.3340455openalex-snapshot
DeepDelta: learning to repair compilation errors
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/10.1145/3359591.3359735openalex-snapshot
The adverse effects of code duplication in machine learning models of code
inferredcites →https://doi.org/10.1145/3379597.3387449openalex-snapshot
Improved Automatic Summarization of Subroutines via Attention to File Context
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/10.1145/3510003.3510222openalex-snapshot
Neural program repair with execution-based backpropagation
inferredcites →https://doi.org/10.1145/3524610.3527905openalex-snapshot
Learning to represent programs with heterogeneous graphs
inferredcites →https://doi.org/10.1145/581339openalex-snapshot
Proceedings of the 24th international conference on Software engineering - ICSE '02
inferredcites →https://doi.org/10.14711/thesis-991012757467903412openalex-snapshot
Automatic patch generation with context-based change application
inferredcites →https://doi.org/10.48550/arxiv.1812.07170openalex-snapshot
Learning to Generate Corrective Patches using Neural Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1905.13334openalex-snapshot
How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Dataset
inferredcites →https://doi.org/10.48550/arxiv.1910.10683openalex-snapshot
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
inferredcites →https://doi.org/10.48550/arxiv.2103.08747openalex-snapshot
Embedding Code Contexts for Cryptographic API Suggestion:New Methodologies and Comparisons
inferredcites →https://doi.org/10.5555/2387880.2387902openalex-snapshot
Automated concurrency-bug fixing
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/10.2139/ssrn.4831589openalex-extracted
A Survey on Code Pre-Trained Models for Neural Program Repair
inferred← citeshttps://doi.org/10.1002/smr.70092openalex-snapshot
PSCSelector: Appropriate Program Slicing Criteria Selection Based on Parameter‐Efficient Lightweight LLM
inferred← citeshttps://doi.org/10.1007/978-3-031-17244-1_8openalex-snapshot
Program Slicing Techniques with Support for Unconditional Jumps
inferred← citeshttps://doi.org/10.1007/978-981-96-1452-3_28openalex-snapshot
Checking the Robustness of Code Using Mutation Testing
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/10.1016/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.2026.113015openalex-snapshot
Unveiling the power of code pre-trained models in automated program repair: A systematic review
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/iaecst68792.2025.11415009openalex-snapshot
A Slice-Level Code Vulnerability Detection Method Based on Self-Organizing Graph Neural Networks
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/icse55347.2025.00238openalex-snapshot
Dockerfile Flakiness: Characterization and Repair
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.2026.3668601openalex-snapshot
Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models
inferred← citeshttps://doi.org/10.1142/s0218194026500269openalex-snapshot
Refined Program Slicing Based on Online Redundancy Removal
inferred← citeshttps://doi.org/10.1145/3631974openalex-snapshot
A Survey of Learning-based Automated Program Repair
inferred← citeshttps://doi.org/10.1145/3643763openalex-snapshot
Towards AI-Assisted Synthesis of Verified Dafny Methods
inferred← citeshttps://doi.org/10.1145/3661167.3661198openalex-snapshot
Automatic detection and correction of code errors applying machine learning - current research state
inferred← citeshttps://doi.org/10.1145/3696450openalex-snapshot
Evolving Paradigms in Automated Program Repair: Taxonomy, Challenges, and Opportunities
inferred← citeshttps://doi.org/10.1145/3731556openalex-snapshot
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-Level Semantic Slicing
inferred← citeshttps://doi.org/10.1145/3744916.3787781openalex-snapshot
Software Vulnerability Management in the Era of Artificial Intelligence: An Industry Perspective
inferred← citeshttps://doi.org/10.1145/3793302.3793351openalex-snapshot
LLM-Based Detection of Tangled Code Changes for Higher-Quality Method-Level Bug Datasets
inferred← citeshttps://doi.org/10.1145/3832116openalex-snapshot
The Fix Is Right at Hand: Fixing Incompatibility Errors Guided by Library Knowledge for Automatic Library Upgrade
inferred← citeshttps://doi.org/10.1145/3832255openalex-snapshot
Multi-stage On-Demand Program Slicing for Modular Analysis of Multi-threaded Programs
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