From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Chenglin, Xu, Yisen, Wang, Zehao, Tan, Shin Hwei, Tse-Hsun, Chen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Are Benchmark Tests Strong Enough? Mutation-Guided Diagnosis and Augmentation of Regression Suites
by: Li, Chenglin, et al.
Published: (2026)
by: Li, Chenglin, et al.
Published: (2026)
SWE-Refactor: A Repository-Level Benchmark for Real-World LLM-Based Code Refactoring
by: Xu, Yisen, et al.
Published: (2026)
by: Xu, Yisen, et al.
Published: (2026)
CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows
by: Muna, Rabeya Khatun, et al.
Published: (2026)
by: Muna, Rabeya Khatun, et al.
Published: (2026)
Aligning the Objective of LLM-based Program Repair
by: Xu, Junjielong, et al.
Published: (2024)
by: Xu, Junjielong, 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)
EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair
by: Mu, Fangwen, et al.
Published: (2025)
by: Mu, Fangwen, et al.
Published: (2025)
Testing Refactoring Engine via Historical Bug Report driven LLM
by: Wang, Haibo, et al.
Published: (2025)
by: Wang, Haibo, et al.
Published: (2025)
Automated Harmfulness Testing for Code Large Language Models
by: Tan, Honghao, et al.
Published: (2025)
by: Tan, Honghao, et al.
Published: (2025)
MANTRA: Enhancing Automated Method-Level Refactoring with Contextual RAG and Multi-Agent LLM Collaboration
by: Xu, Yisen, et al.
Published: (2025)
by: Xu, Yisen, et al.
Published: (2025)
When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done?
by: Chen, Yuxiao, et al.
Published: (2024)
by: Chen, Yuxiao, et al.
Published: (2024)
What Makes Code Generation Ethically Sourced?
by: Xu, Zhuolin, et al.
Published: (2025)
by: Xu, Zhuolin, 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)
An Empirical Study of False Negatives and Positives of Static Code Analyzers From the Perspective of Historical Issues
by: Cui, Han, et al.
Published: (2024)
by: Cui, Han, et al.
Published: (2024)
Towards Structured, State-Aware, and Execution-Grounded Reasoning for Software Engineering Agents
by: Tse-Hsun, et al.
Published: (2026)
by: Tse-Hsun, et al.
Published: (2026)
Accelerating Patch Validation for Program Repair with Interception-Based Execution Scheduling
by: Xiao, Yuan-An, et al.
Published: (2023)
by: Xiao, Yuan-An, et al.
Published: (2023)
Patch Validation in Automated Vulnerability Repair
by: Yu, Zheng, et al.
Published: (2026)
by: Yu, Zheng, et al.
Published: (2026)
When Automated Program Repair Meets Regression Testing -- An Extensive Study on 2 Million Patches
by: Lou, Yiling, et al.
Published: (2021)
by: Lou, Yiling, et al.
Published: (2021)
PatchRecall: Patch-Driven Retrieval for Automated Program Repair
by: Dihan, Mahir Labib, et al.
Published: (2026)
by: Dihan, Mahir Labib, et al.
Published: (2026)
Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
by: Wang, Zehao, et al.
Published: (2024)
by: Wang, Zehao, et al.
Published: (2024)
Guiding ChatGPT to Fix Web UI Tests via Explanation-Consistency Checking
by: Xu, Zhuolin, et al.
Published: (2023)
by: Xu, Zhuolin, et al.
Published: (2023)
ThinkRepair: Self-Directed Automated Program Repair
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair
by: Zhang, Quanjun, et al.
Published: (2026)
by: Zhang, Quanjun, 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)
Moving beyond Deletions: Program Simplification via Diverse Program Transformations
by: Wang, Haibo, et al.
Published: (2024)
by: Wang, Haibo, et al.
Published: (2024)
Beyond Crash-to-Patch: Patch Evolution for Linux Kernel Repair
by: Bai, Luyao, et al.
Published: (2026)
by: Bai, Luyao, et al.
Published: (2026)
SLICET5: Static Program Slicing using Language Models with Copy Mechanism and Constrained Decoding
by: He, Pengfei, et al.
Published: (2025)
by: He, Pengfei, et al.
Published: (2025)
Red Teaming Program Repair Agents: When Correct Patches can Hide Vulnerabilities
by: Chen, Simin, et al.
Published: (2025)
by: Chen, Simin, et al.
Published: (2025)
Structured Safety Auditing for Balancing Code Correctness and Content Safety in LLM-Generated Code
by: Tan, Honghao, et al.
Published: (2026)
by: Tan, Honghao, et al.
Published: (2026)
Adversarial Reasoning for Repair Based on Inferred Program Intent
by: Ye, He, et al.
Published: (2025)
by: Ye, He, et al.
Published: (2025)
DebugRepair: Enhancing LLM-Based Automated Program Repair via Self-Directed Debugging
by: Wu, Linhao, et al.
Published: (2026)
by: Wu, Linhao, et al.
Published: (2026)
Enhancing Automated Program Repair via Faulty Token Localization and Quality-Aware Patch Refinement
by: Kong, Jiaolong, et al.
Published: (2025)
by: Kong, Jiaolong, et al.
Published: (2025)
A Case Study of LLM for Automated Vulnerability Repair: Assessing Impact of Reasoning and Patch Validation Feedback
by: Kulsum, Ummay, et al.
Published: (2024)
by: Kulsum, Ummay, et al.
Published: (2024)
MultiMend: Multilingual Program Repair with Context Augmentation and Multi-Hunk Patch Generation
by: Gharibi, Reza, et al.
Published: (2025)
by: Gharibi, Reza, et al.
Published: (2025)
Execution-free Program Repair
by: Huang, Li, et al.
Published: (2024)
by: Huang, Li, et al.
Published: (2024)
How Far Can We Go with Practical Function-Level Program Repair?
by: Xiang, Jiahong, et al.
Published: (2024)
by: Xiang, Jiahong, et al.
Published: (2024)
REFINE: Enhancing Program Repair Agents through Context-Aware Patch Refinement
by: Pabba, Anvith, et al.
Published: (2025)
by: Pabba, Anvith, et al.
Published: (2025)
PathFix: Automated Program Repair with Expected Path
by: He, Xu, et al.
Published: (2025)
by: He, Xu, et al.
Published: (2025)
Tracing Errors, Constructing Fixes: Repository-Level Memory Error Repair via Typestate-Guided Context Retrieval
by: Cheng, Xiao, et al.
Published: (2025)
by: Cheng, Xiao, et al.
Published: (2025)
OFP-Repair: Repairing Floating-point Errors via Original-Precision Arithmetic
by: Tan, Youshuai, et al.
Published: (2025)
by: Tan, Youshuai, et al.
Published: (2025)
Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
Similar Items
-
Are Benchmark Tests Strong Enough? Mutation-Guided Diagnosis and Augmentation of Regression Suites
by: Li, Chenglin, et al.
Published: (2026) -
SWE-Refactor: A Repository-Level Benchmark for Real-World LLM-Based Code Refactoring
by: Xu, Yisen, et al.
Published: (2026) -
CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows
by: Muna, Rabeya Khatun, et al.
Published: (2026) -
Aligning the Objective of LLM-based Program Repair
by: Xu, Junjielong, et al.
Published: (2024) -
RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repair
by: Pan, Zhongqiang, et al.
Published: (2026)