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Copy file name to clipboardExpand all lines: README.md
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```bibtex
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@article{li2026advances,
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title={Advances, Frontiers, and Future of Issue Resolution in Software Engineering: A Comprehensive Survey},
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author={Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Liu, Runze and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin},
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author={Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin},
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journal={TechRxiv},
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year={2026},
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page={1375056},
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}
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```
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> Once published on arXiv or at a conference, please replace the entry with the official citation information (authors, DOI/arXiv ID, conference name, etc.).
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Once published on arXiv or at a conference, please replace the entry with the official citation information (authors, DOI/arXiv ID, conference name, etc.).
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---
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## 🙏 Acknowledgements
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We would like to express our sincere gratitude to:
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-**[@chao-peng](https://github.com/chao-peng)** ([Dr. Chao Peng](https://chao-peng.github.io)), ByteDance Software Engineering Lab, for providing valuable suggestions on the Challenges and Opportunities section of our survey.
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-**[@EuniAI/awesome-code-agents](https://github.com/EuniAI/awesome-code-agents)** for providing an excellent reference on managing survey papers through documentation systems and inspiring our project structure.
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- The **authors of cited papers** who provided valuable feedback on how their work is presented in this survey, greatly improving its accuracy and comprehensiveness.
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- All **contributors** who have helped improve this project through issues, pull requests, and discussions.
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- The **open-source community** for developing the amazing tools and frameworks that made this project possible.
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### Special Thanks
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-**[@chao-peng](https://github.com/chao-peng)** ([Dr. Chao Peng](https://chao-peng.github.io)), ByteDance Software Engineering Lab, for providing valuable suggestions on the Challenges and Opportunities section of our survey.
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-**[@EuniAI/awesome-code-agents](https://github.com/EuniAI/awesome-code-agents)** for providing an excellent reference on managing survey papers through documentation systems and inspiring our project structure.
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We would like to express our sincere gratitude to:
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-**[@chao-peng](https://github.com/chao-peng){: target="_blank" }** ([Dr. Chao Peng](https://chao-peng.github.io){: target="_blank" }), ByteDance Software Engineering Lab, for providing valuable suggestions on the Challenges and Opportunities section of our survey.
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-**[@EuniAI/awesome-code-agents](https://github.com/EuniAI/awesome-code-agents){: target="_blank" }** for providing an excellent reference on managing survey papers through documentation systems and inspiring our project structure.
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- The **authors of cited papers** who provided valuable feedback on how their work is presented in this survey, greatly improving its accuracy and comprehensiveness.
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- All **contributors** who have helped improve this project through issues, pull requests, and discussions.
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- The **open-source community** for developing the amazing tools and frameworks that made this project possible.
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### Special Thanks
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-**[@chao-peng](https://github.com/chao-peng){: target="_blank" }** ([Dr. Chao Peng](https://chao-peng.github.io){: target="_blank" }), ByteDance Software Engineering Lab, for providing valuable suggestions on the Challenges and Opportunities section of our survey.
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-**[@EuniAI/awesome-code-agents](https://github.com/EuniAI/awesome-code-agents){: target="_blank" }** for providing an excellent reference on managing survey papers through documentation systems and inspiring our project structure.
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@article{li2026advances,
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title={Advances, Frontiers, and Future of Issue Resolution in Software Engineering: A Comprehensive Survey},
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author={Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Liu, Runze and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin},
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author={Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin},
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```bibtex
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@article{li2026advances,
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title={Advances, Frontiers, and Future of Issue Resolution in Software Engineering: A Comprehensive Survey},
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author={Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Liu, Runze and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin},
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author={Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin},
**Institutions**: Sun Yat-sen University, Independent Researcher, Hangzhou Normal University, Zhejiang University, Huawei Technologies Co, Ltd, Chongqing University
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```bibtex
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@article{li2026advances,
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title={Advances, Frontiers, and Future of Issue Resolution in Software Engineering: A Comprehensive Survey},
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author={Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Liu, Runze and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin},
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author={Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin},
<p>We would like to express our sincere gratitude to:</p>
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<ul>
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<li>
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<p><strong><ahref="https://github.com/chao-peng" target="_blank">@chao-peng</a></strong> (<ahref="https://chao-peng.github.io" target="_blank">Dr. Chao Peng</a>), ByteDance Software Engineering Lab, for providing valuable suggestions on the Challenges and Opportunities section of our survey.</p>
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</li>
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<li>
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<p><strong><ahref="https://github.com/EuniAI/awesome-code-agents" target="_blank">@EuniAI/awesome-code-agents</a></strong> for providing an excellent reference on managing survey papers through documentation systems and inspiring our project structure.</p>
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<p>The <strong>authors of cited papers</strong> who provided valuable feedback on how their work is presented in this survey, greatly improving its accuracy and comprehensiveness.</p>
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</li>
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<li>
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<p>All <strong>contributors</strong> who have helped improve this project through issues, pull requests, and discussions.</p>
<p><strong><ahref="https://github.com/chao-peng" target="_blank">@chao-peng</a></strong> (<ahref="https://chao-peng.github.io" target="_blank">Dr. Chao Peng</a>), ByteDance Software Engineering Lab, for providing valuable suggestions on the Challenges and Opportunities section of our survey.</p>
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</li>
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<li>
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<p><strong><ahref="https://github.com/EuniAI/awesome-code-agents" target="_blank">@EuniAI/awesome-code-agents</a></strong> for providing an excellent reference on managing survey papers through documentation systems and inspiring our project structure.</p>
<spanclass="w"></span><spanclass="na">title</span><spanclass="p">=</span><spanclass="s">{Advances, Frontiers, and Future of Issue Resolution in Software Engineering: A Comprehensive Survey}</span><spanclass="p">,</span>
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<spanclass="w"></span><spanclass="na">author</span><spanclass="p">=</span><spanclass="s">{Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Liu, Runze and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin}</span><spanclass="p">,</span>
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<spanclass="w"></span><spanclass="na">author</span><spanclass="p">=</span><spanclass="s">{Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin}</span><spanclass="p">,</span>
<p><strong>Institutions</strong>: Sun Yat-sen University, Independent Researcher, Hangzhou Normal University, Zhejiang University, Huawei Technologies Co, Ltd, Chongqing University</p>
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<p><strong>Abstract</strong>: Issue resolution, a complex Software Engineering (SWE) task integral to real-world development, has emerged as a compelling challenge for artificial intelligence. The establishment of benchmarks like SWE-bench revealed this task as profoundly difficult for large language models, thereby significantly accelerating the evolution of autonomous coding agents. This paper presents a systematic survey of this emerging domain. We begin by examining data construction pipelines, covering automated collection and synthesis approaches. We then provide a comprehensive analysis of methodologies, spanning training-free frameworks with their modular components to training-based techniques, including supervised fine-tuning and reinforcement learning. Subsequently, we discuss critical analyses of data quality and agent behavior, alongside practical applications. Finally, we identify key challenges and outline promising directions for future research. An open-source repository is maintained at https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution to serve as a dynamic resource in this field.</p>
<spanclass="w"></span><spanclass="na">title</span><spanclass="p">=</span><spanclass="s">{Advances, Frontiers, and Future of Issue Resolution in Software Engineering: A Comprehensive Survey}</span><spanclass="p">,</span>
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<spanclass="w"></span><spanclass="na">author</span><spanclass="p">=</span><spanclass="s">{Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Liu, Runze and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin}</span><spanclass="p">,</span>
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<spanclass="w"></span><spanclass="na">author</span><spanclass="p">=</span><spanclass="s">{Li, Caihua and Guo, Lianghong and Wang, Yanlin and Guo, Daya and Tao, Wei and Shan, Zhenyu and Liu, Mingwei and Chen, Jiachi and Song, Haoyu and Tang, Duyu and Zhang, Hongyu and Zheng, Zibin}</span><spanclass="p">,</span>
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