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README.md

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[**📖 Documentation Website**](https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/) | [**📄 Full Paper**](https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/paper/) | [**📋 Tables & Resources**](https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/tables/)
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> 🤗 **HF Paper**: [https://huggingface.co/papers/2601.11655](https://huggingface.co/papers/2601.11655) (Upvotes appreciated! ⬆️)
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**🎙️ Interactive Exploration:**
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[![NotebookLM](https://img.shields.io/badge/🎧_NotebookLM-Listen_&_Explore-4285F4?style=for-the-badge&logo=google&logoColor=white)](https://notebooklm.google.com/notebook/2b70100e-9d5a-46db-96f5-6ccb7b53890a)
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Based on a systematic review of **201 papers and online resources**, this survey establishes a holistic theoretical framework for Issue Resolution in software engineering. We examine how **Large Language Models (LLMs)** are transforming the automation of GitHub issue resolution. Beyond the theoretical analysis, we have curated a comprehensive collection of datasets and model training resources, which are continuously synchronized with our GitHub repository and project documentation website.
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> 🔎 **Browse & Export**: The full paper database is searchable and exportable at **[deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/admin/](https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/admin/)** — filter by category, date, or keyword, and export results as CSV.
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## 📰 News
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<!-- START NEWS -->
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- **Survey Launch (2026-01)**: Our survey paper is now publicly available on arXiv: [https://arxiv.org/abs/2601.11655](https://arxiv.org/abs/2601.11655). It covers 175 papers and resources on LLM-based GitHub issue resolution, with continuously updated datasets and leaderboards!
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<!-- END NEWS -->
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---
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<!-- START DEMO -->
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<div align="center">
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<img src="docs/images/database.gif" alt="Admin Interface Demo" style="zoom:50%;" />
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</div>
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<!-- END DEMO -->
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<!-- START EXPLORE -->
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**🔍 Explore This Survey:**
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- 🤝 **[Contributing](#-contributing)**: How to contribute to this project
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> 🔎 **Browse & Export**: The full paper database is searchable and exportable at **[deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/admin/](https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/admin/)** — filter by category, date, or keyword, and export results as CSV.
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<!-- START DEMO -->
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<div align="center">
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<img src="docs/images/database.gif" alt="Admin Interface Demo" style="zoom:50%;" />
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</div>
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<!-- END DEMO -->
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<!-- START PAPERS -->

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