代码大模型 / AI 编程

REFINE: Enhancing Program Repair Agents through Context-Aware Patch Refinement

Anvith Pabba, Simin Chen, Alex Mathai, Anindya Chakraborty, Baishakhi Ray

专题命中 程序修复 ：program repair(title,abstract)；repository(abstract)；分类 cs.SE

Comments We also open source our code at https://anonymous.4open.science/r/SemAgent-7B2F/README.md

Towards Speeding up Program Repair with Non-Autoregressive Model

Zhenyu Yang, Yue Pan, Zhen Yang, Zhongxing Yu

专题命中 程序修复 ：program repair(title,abstract)；code generation(abstract)；分类 cs.SE

Comments 30 pages, 8 figures, 7 tables. arXiv admin note: substantial text overlap with arXiv:2406.16526

The Impact of Fine-tuning Large Language Models on Automated Program Repair

Roman Macháček, Anastasiia Grishina, Max Hort, Leon Moonen

机构 * Simula Research Laboratory（Simula研究实验室） ； University of Bern（伯尔尼大学） 纠错

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.CL、cs.AI

Comments Accepted for publication in the research track of the 41th International Conference on Software Maintenance and Evolution (ICSME 2025)

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models

Fernando Vallecillos Ruiz, Max Hort, Leon Moonen

机构 * Simula Research Laboratory（Simula研究实验室） 纠错

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.CL、cs.AI

Comments Accepted for publication in the research track of the 29th International Conference on Evaluation and Assessment in Software Engineering (EASE), 17-20 June 2025, Istanbul, Türkiye

Less Training, More Repairing Please: Revisiting Automated Program Repair via Zero-shot Learning

Chunqiu Steven Xia, Lingming Zhang

专题命中 程序修复 ：program repair(title,abstract)；code model(abstract)；分类 cs.SE

Comments Accepted at ESEC/FSE 2022

Journal ref ESEC/FSE 2022: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Revisiting Evolutionary Program Repair via Code Language Model

Yunan Wang, Tingyu Guo, Zilong Huang, Yuan Yuan

专题命中 程序修复 ：program repair(title,abstract)；code generation(abstract)；分类 cs.SE

Search-based Automated Program Repair of CPS Controllers Modeled in Simulink-Stateflow

Aitor Arrieta, Pablo Valle, Shaukat Ali

专题命中 程序修复 ：program repair(title,abstract)；repository(abstract)；分类 cs.SE

GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction

Quanjun Zhang, Chunrong Fang, Tongke Zhang, Bowen Yu, Weisong Sun, Zhenyu Chen

专题命中 程序修复 ：program repair(title,abstract)；code generation(abstract)；分类 cs.SE

Comments Accepted to 38th IEEE/ACM International Conference on Automated Software Engineering (ASE2023)

A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair

Jialun Cao, Meiziniu Li, Ming Wen, Shing-chi Cheung

专题命中 程序修复 ：program repair(title,abstract)；code generation(abstract)；分类 cs.SE

Comments 10 pages

Estimating the Potential of Program Repair Search Spaces with Commit Analysis

Khashayar Etemadi, Niloofar Tarighat, Siddharth Yadav, Matias Martinez, Martin Monperrus

专题命中 程序修复 ：program repair(title,abstract)；repository(abstract)；分类 cs.SE

Journal ref Journal of Systems and Software, 2022

Bears: An Extensible Java Bug Benchmark for Automatic Program Repair Studies

Fernanda Madeiral, Simon Urli, Marcelo Maia, Martin Monperrus

专题命中 程序修复 ：program repair(title,abstract)；repository(abstract)；分类 cs.SE

Comments Proceedings of the 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER '19)

Journal ref Proceedings of the 26th IEEE International Conference on Software Analysis, Evolution and Reengineering, 2019

Test Case Generation for Program Repair: A Study of Feasibility and Effectiveness

Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin Monperrus

专题命中 程序修复 ：program repair(title,abstract)；repository(abstract)；分类 cs.SE

Comments working paper

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair

MemRepair：用于代理级漏洞修复的分层内存

Simiao Liu, Li Zhang, Fang Liu, Xiaoli Lian, Yang Liu, Yinghao Zhu

机构 * Beihang University（北京航空航天大学） ； The University of Hong Kong（香港大学） 纠错

专题命中 程序修复 ：repository(title,abstract)；分类 cs.SE、cs.CL、cs.AI

AI总结 本研究提出MemRepair，一种增强记忆的代理框架，通过分层记忆和动态反馈循环提高漏洞修复的可靠性，实现了在多个仓库级别的漏洞修复基准上的高修复率。

Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces

基于梯度的程序修复：在连续程序空间中修复错误

André Silva, Gustav Thorén, Martin Monperrus

机构 * KTH Royal Institute of Technology（皇家理工学院） 纠错

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.LG、cs.PL

AI总结 本文提出基于梯度的程序修复方法，通过在可微数值程序空间中进行连续优化，有效修复符号程序中的错误，首次将程序修复视为数值空间中的连续优化问题。

Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement

面向学习者的程序修复：一种具有迭代编辑驱动检索增强的解决方案生成器

Zhenlong Dai, Zhuoluo Zhao, Hengning Wang, Xiu Tang, Sai Wu, Chang Yao, Zhipeng Gao, Jingyuan Chen

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.CL、cs.AI

AI总结 本文提出面向学习者的程序修复任务及LSGEN框架，通过迭代编辑驱动检索增强方法提升程序修复效果，实验验证其在编程辅导中的有效性。

Comments Accepted by AAAI2026 main track

Assessing the Latent Automated Program Repair Capabilities of Large Language Models using Round-Trip Translation

Fernando Vallecillos Ruiz, Anastasiia Grishina, Max Hort, Leon Moonen

机构 * Simula Research Laboratory（Simula研究实验室） 纠错

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.CL、cs.LG

Comments Accepted for publication in ACM Transactions on Software Engineering and Methodology (TOSEM)

Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback

Chandra Maddila, Adam Tait, Claire Chang, Daniel Cheng, Nauman Ahmad, Vijayaraghavan Murali, Marshall Roch, Arnaud Avondet, Aaron Meltzer, Victor Montalvao, Michael Hopko, Chris Waterson, Parth Thakkar, Renuka Fernandez, Kristian Kristensen, Sivan Barzily, Sherry Chen, Rui Abreu, Nachiappan Nagappan, Payam Shodjai, Killian Murphy, James Everingham, Aparna Ramani, Peter C. Rigby

机构 * Meta 纠错

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.AI、cs.PL

Aligning the Objective of LLM-based Program Repair

Junjielong Xu, Ying Fu, Shin Hwei Tan, Pinjia He

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.CL、cs.LG

Comments Accepted by ICSE'25

Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models

Kangwei Xu, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li

专题命中 程序修复 ：program repair(title,abstract)；code generation(abstract)

Benchmarking Educational Program Repair

Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.CL、cs.AI

Comments 15 pages, 2 figures, 3 tables. Non-archival report presented at the NeurIPS'23 Workshop on Generative AI for Education (GAIED)

Program Repair with Minimal Edits Using CodeT5

Atsushi Shirafuji, Md. Mostafizer Rahman, Md Faizul Ibne Amin, Yutaka Watanobe

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.CL、cs.AI

Comments 7 pages, 6 figures, accepted to iCAST 2023

Improving Automated Program Repair with Domain Adaptation

Armin Zirak, Hadi Hemmati

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.AI、cs.LG

Comments 43 pages

Leveraging Causal Inference for Explainable Automatic Program Repair

Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.CL、cs.AI

Comments This paper has been accepted by IJCNN2022

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

Nan Jiang, Thibaud Lutellier, Lin Tan

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.AI、cs.LG

Comments This paper is accepted by 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)

Rethinking Automated Program Repair: The Impact of Bug Complexity, Fault Localization, and LLM Cost-efficiency

重新思考自动程序修复：缺陷复杂度、缺陷定位与大语言模型成本效率的影响

Junchi Liu, Ali Bigdeli, Roya Daneshi, Atu Ambala, Sudipto Ghosh, Fabio Santos

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.AI

AI总结 本研究通过实证分析，发现中等复杂度缺陷可超50%由低成本LLM修复，不精确缺陷定位会扩大APR技术差距，高成本LLM与强推理设置并非总能提升成本效率，DeepSeek-V3.2成本效率最优。

Comments 20 pages, 6 figures, 10 tables. Accepted at ESEM 2026

Self-Bootstrapping Automated Program Repair: Using LLMs to Generate and Evaluate Synthetic Training Data for Bug Repair

自bootstrap自动程序修复：利用LLMs生成和评估合成训练数据以修复bug

David de-Fitero-Dominguez, Antonio Garcia-Cabot, Eva Garcia-Lopez

机构 * Departamento de Ciencias de la Computación, Universidad de Alcalá（阿尔卡拉大学计算机科学系） 纠错

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.AI

AI总结 本文提出一种利用LLMs生成合成数据提升自动程序修复的方法，通过生成和评估代码bug与修复代码的配对示例，提升修复准确率，实验显示在VulRepair数据集上Top@1和Top@5表现显著提升。

Comments Final published version in the Expert Systems with Applications journal. Volume 319, 5 July 2026, 132154. DOI: https://doi.org/10.1016/j.eswa.2026.132154

Journal ref Expert Systems with Applications (5 July 2026), Volume 319, 132154

How Do LLMs Read Bug Reports? An Empirical Study of Attention in LLMs for Automated Program Repair

大语言模型如何读取错误报告？基于大语言模型的自动程序修复中注意力的实证研究

Ramtin Ehsani, Irene Manotas, Saurabh Pujar, Luca Buratti, Preetha Chatterjee

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.AI

AI总结 研究基于大语言模型的自动程序修复中模型注意力模式，通过分析319个真实错误，探究其在错误报告各部分的分布、成功与失败修复的注意力差异及与开发者重视信息的比较，发现注意力分配错误是失败关键因素，为改进系统提供见解。

Comments Accepted at the 41st IEEE/ACM International Conference on Automated Software Engineering (ASE) 2026 Conference

Multi-Perspective Agentic Program Repair via Code Property Graphs and Temporal Execution Graphs

通过代码属性图和时间执行图进行多视角智能程序修复

Zhili Huang, Ling Xu, Hongyu Zhang

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.AI

AI总结 研究针对大语言模型在自动程序修复中的局限，提出CT-Repair框架，通过代码属性图和时间执行图表示证据，利用三阶段过滤管道及多视角智能体分析错误并生成修复策略，实验证明该方法能有效提高修复有效性。

Comments 12 pages, 5 figures, 10 tables

TraceView: Interactive Visualization of Agentic Program Repair Trajectories

TraceView: 智能体程序修复轨迹的交互式可视化

Amirali Sajadi, Tu Nguyen, Kimmie Huynh, Esteban Parra, Preetha Chatterjee

机构 * Belmont University（贝尔蒙特大学） 纠错

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.AI

AI总结 提出TraceView工具，通过交互式可视化和语义关系标注，帮助开发者诊断LLM-based自动程序修复代理的失败原因，支持轨迹扫描与理解。

Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study

通过可追溯性视角理解自动化程序修复智能体：一项实证研究

Ira Ceka, Hailie Mitchell, Saurabh Pujar, Luca Buratti, Shyam Ramji, Junfeng Yang, Gail Kaiser, Baishakhi Ray

机构 * Columbia University（哥伦比亚大学） ； IBM Research（IBM研究院） 纠错

专题命中 程序修复 ：program repair(title,abstract)；分类 cs.SE、cs.AI

AI总结 本文通过追踪五个最先进的自动化程序修复智能体在500个真实世界修复任务中的决策流程，揭示了它们在逻辑密集型错误修复、测试生成和回归测试选择方面的关键局限性，并提出了改进方向。

Comments Accepted for publication (ISSTA '26)