SOTAVerified

Program Repair

Task of teaching ML models to modify an existing program to fix a bug in a given code.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 132 papers

TitleStatusHype
Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades—0
MdEval: Massively Multilingual Code Debugging—0
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair—0
MultiFix: Learning to Repair Multiple Errors by Optimal Alignment Learning—0
NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair—0
Neural Program Repair: Systems, Challenges and Solutions—0
NExT: Teaching Large Language Models to Reason about Code Execution—0
Human-In-The-Loop Automatic Program RepairCode0
SequenceR: Sequence-to-Sequence Learning for End-to-End Program RepairCode0
Out of Context: How important is Local Context in Neural Program Repair?Code0
Graph Neural Networks For Mapping Variables Between Programs -- Extended VersionCode0
InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming AssignmentsCode0
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic ReasoningCode0
Patching as Translation: the Data and the MetaphorCode0
Teaching Large Language Models to Self-DebugCode0
Exploring Plausible Patches Using Source Code Embeddings in JavaScriptCode0
Learning to Execute Programs with Instruction Pointer Attention Graph Neural NetworksCode0
Deep Reinforcement Learning for Programming Language CorrectionCode0
Less is More: Adaptive Program Repair with Bug Localization and Preference LearningCode0
Learning and Evaluating Contextual Embedding of Source CodeCode0
Assessing the Effectiveness of Syntactic Structure to Learn Code Edit RepresentationsCode0
Arachne: Search Based Repair of Deep Neural NetworksCode0
DeepFix: Fixing Common C Language Errors by Deep LearningCode0
RePair: Automated Program Repair with Process-based FeedbackCode0
C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming AssignmentsCode0
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All datasetsDeepFixGitHub-PythonHumanEvalPackTFix's Code Patches Data

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DrRepair + BIFIAverage Success Rate71.7—Unverified
2DrRepairAverage Success Rate68.2—Unverified
3SampleFixAverage Success Rate45.3—Unverified
4RLAssistAverage Success Rate26.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer + BIFIAccuracy (%)90.5—Unverified
2TransformerAccuracy (%)62—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDebugger (DeepSeek-Coder-V2-Lite)Pass@197.6—Unverified
#ModelMetricClaimedVerifiedStatus
1TFixError Removal678—Unverified