https://github.com/michiyasunaga/DrRepair
공식 코드Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Task of teaching ML models to modify an existing program to fix a bug in a given code.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
NNrepair: Constraint-based Repair of Neural Network Classifiers
C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments
CFaults: Model-Based Diagnosis for Fault Localization in C Programs with Multiple Test Cases
Graph Neural Networks For Mapping Variables Between Programs -- Extended Version
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
Path Analysis for Effective Fault Localization in Deep Neural Networks
AequeVox: Automated Fairness Testing of Speech Recognition Systems
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning
Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing
Explaining Image Classifiers using Statistical Fault Localization
RePair: Automated Program Repair with Process-based Feedback
Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs
Memorization and Generalization in Neural Code Intelligence Models
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance
Unified Pre-training for Program Understanding and Generation
Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute
Planning-Driven Programming: A Large Language Model Programming Workflow
Less is More: Adaptive Program Repair with Bug Localization and Preference Learning
CoSIL: Software Issue Localization via LLM-Driven Code Repository Graph Searching
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
Neural Program Repair by Jointly Learning to Localize and Repair
Exploring Plausible Patches Using Source Code Embeddings in JavaScript
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.