Repair-R1: Better Test Before Repair
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Haichuan, Xie, Xiaochen, Zhang, Quanjun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TSAPR: A Tree Search Framework For Automated Program Repair
by: Hu, Haichuan, et al.
Published: (2025)
by: Hu, Haichuan, et al.
Published: (2025)
Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs
by: Hu, Haichuan, et al.
Published: (2024)
by: Hu, Haichuan, et al.
Published: (2024)
EvoRepair: Enhancing Vulnerability Repair Agents Through Experience-Based Self-Evolution
by: Hu, Haichuan, et al.
Published: (2026)
by: Hu, Haichuan, et al.
Published: (2026)
ComPass: Contrastive Learning for Automated Patch Correctness Assessment in Program Repair
by: Zhang, Quanjun, et al.
Published: (2026)
by: Zhang, Quanjun, et al.
Published: (2026)
Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
by: Feng, Qiong, et al.
Published: (2024)
by: Feng, Qiong, et al.
Published: (2024)
Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair
by: Cheng, Runxiang, et al.
Published: (2026)
by: Cheng, Runxiang, et al.
Published: (2026)
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
by: Bouzenia, Islem, et al.
Published: (2024)
by: Bouzenia, Islem, et al.
Published: (2024)
Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments
by: Zhao, Qianhui, et al.
Published: (2024)
by: Zhao, Qianhui, et al.
Published: (2024)
Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing
by: Le-Cong, Thanh, et al.
Published: (2024)
by: Le-Cong, Thanh, et al.
Published: (2024)
RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repair
by: Pan, Zhongqiang, et al.
Published: (2026)
by: Pan, Zhongqiang, et al.
Published: (2026)
Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
by: Wen, Xin-Cheng, et al.
Published: (2025)
by: Wen, Xin-Cheng, et al.
Published: (2025)
Repeton: Structured Bug Repair with ReAct-Guided Patch-and-Test Cycles
by: Vinh, Nguyen Phu, et al.
Published: (2025)
by: Vinh, Nguyen Phu, et al.
Published: (2025)
A Metamorphic Testing Approach to Diagnosing Memorization in LLM-Based Program Repair
by: De Koning, Milan, et al.
Published: (2026)
by: De Koning, Milan, et al.
Published: (2026)
Evaluating the Generalizability of LLMs in Automated Program Repair
by: Li, Fengjie, et al.
Published: (2025)
by: Li, Fengjie, et al.
Published: (2025)
DREAM: Debugging and Repairing AutoML Pipelines
by: Zhang, Xiaoyu, et al.
Published: (2023)
by: Zhang, Xiaoyu, et al.
Published: (2023)
Enhancing Automated Program Repair with Solution Design
by: Zhao, Jiuang, et al.
Published: (2024)
by: Zhao, Jiuang, et al.
Published: (2024)
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
by: Dehghan, Meghdad, et al.
Published: (2024)
by: Dehghan, Meghdad, et al.
Published: (2024)
Self-Bootstrapping Automated Program Repair: Using LLMs to Generate and Evaluate Synthetic Training Data for Bug Repair
by: de-Fitero-Dominguez, David, et al.
Published: (2025)
by: de-Fitero-Dominguez, David, et al.
Published: (2025)
MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair
by: Liu, Simiao, et al.
Published: (2026)
by: Liu, Simiao, et al.
Published: (2026)
MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems
by: Wang, Renzhi, et al.
Published: (2024)
by: Wang, Renzhi, et al.
Published: (2024)
From Benchmark Data To Applicable Program Repair: An Experience Report
by: Chandramohan, Mahinthan, et al.
Published: (2025)
by: Chandramohan, Mahinthan, et al.
Published: (2025)
Collaborative Agents for Automated Program Repair in Ruby
by: Akbarpour, Nikta, et al.
Published: (2025)
by: Akbarpour, Nikta, et al.
Published: (2025)
Evaluating Agent-based Program Repair at Google
by: Rondon, Pat, et al.
Published: (2025)
by: Rondon, Pat, et al.
Published: (2025)
RisConFix: LLM-based Automated Repair of Risk-Prone Drone Configurations
by: Han, Liping, et al.
Published: (2025)
by: Han, Liping, et al.
Published: (2025)
HAFixAgent: History-Aware Program Repair Agent
by: Shi, Yu, et al.
Published: (2025)
by: Shi, Yu, et al.
Published: (2025)
Multi-Task Program Error Repair and Explanatory Diagnosis
by: Xu, Zhenyu, et al.
Published: (2024)
by: Xu, Zhenyu, et al.
Published: (2024)
CRepair: CVAE-based Automatic Vulnerability Repair Technology
by: Liu, Penghui, et al.
Published: (2024)
by: Liu, Penghui, et al.
Published: (2024)
HTMLCure: Turning Browser Experience into State Guided Repair for Interactive HTML
by: Wu, Jiajun, et al.
Published: (2026)
by: Wu, Jiajun, et al.
Published: (2026)
Practical Limits of Autonomous Test Repair: A Multi-Agent Case Study with LLM-Driven Discovery and Self-Correction
by: Lee, Hyukjoo
Published: (2026)
by: Lee, Hyukjoo
Published: (2026)
A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair
by: Khan, Zanis Ali, et al.
Published: (2025)
by: Khan, Zanis Ali, et al.
Published: (2025)
Benchmark Dataset Generation and Evaluation for Excel Formula Repair with LLMs
by: Singha, Ananya, et al.
Published: (2025)
by: Singha, Ananya, et al.
Published: (2025)
Agentic Bug Reproduction for Effective Automated Program Repair at Google
by: Cheng, Runxiang, et al.
Published: (2025)
by: Cheng, Runxiang, et al.
Published: (2025)
On the Role of Fault Localization Context for LLM-Based Program Repair
by: Sepidband, Melika, et al.
Published: (2026)
by: Sepidband, Melika, et al.
Published: (2026)
DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information
by: Huang, Zhili, et al.
Published: (2025)
by: Huang, Zhili, et al.
Published: (2025)
Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning
by: Racharak, Teeradaj, et al.
Published: (2025)
by: Racharak, Teeradaj, et al.
Published: (2025)
ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning
by: Cheng, Mingfei, et al.
Published: (2025)
by: Cheng, Mingfei, et al.
Published: (2025)
FailureMem: A Failure-Aware Multimodal Framework for Autonomous Software Repair
by: Ma, Ruize, et al.
Published: (2026)
by: Ma, Ruize, et al.
Published: (2026)
Exploring the Potential of Conversational Test Suite Based Program Repair on SWE-bench
by: Cheshkov, Anton, et al.
Published: (2024)
by: Cheshkov, Anton, et al.
Published: (2024)
GeoContra: From Fluent GIS Code to Verifiable Spatial Analysis with Geography-Grounded Repair
by: Xiao, Yinhao, et al.
Published: (2026)
by: Xiao, Yinhao, et al.
Published: (2026)
Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing
by: van der Vleuten, Noah
Published: (2025)
by: van der Vleuten, Noah
Published: (2025)
Similar Items
-
TSAPR: A Tree Search Framework For Automated Program Repair
by: Hu, Haichuan, et al.
Published: (2025) -
Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs
by: Hu, Haichuan, et al.
Published: (2024) -
EvoRepair: Enhancing Vulnerability Repair Agents Through Experience-Based Self-Evolution
by: Hu, Haichuan, et al.
Published: (2026) -
ComPass: Contrastive Learning for Automated Patch Correctness Assessment in Program Repair
by: Zhang, Quanjun, et al.
Published: (2026) -
Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
by: Feng, Qiong, et al.
Published: (2024)