About¶

About This Project¶

Based on a systematic review of 176 papers and online resources, this project establishes a holistic theoretical framework for Issue Resolution in software engineering. This website is designed to facilitate efficient literature retrieval and exploration.

Key Features¶

Comprehensive Coverage: Covers three major sections - Data, Methods, and Analysis
Convenient Retrieval: Supports full-text search and categorical browsing

Contribution Guide¶

We welcome Pull Requests to add new papers or fix errors!

Fork this repository
Add paper entries in the corresponding YAML file under data/ directory (e.g., papers_evaluation_datasets.yaml, papers_single_agent.yaml, etc.)
Follow the existing format with fields: short_name, title, authors, venue, year, and links (arxiv, github, huggingface)
Run python scripts/render_papers.py to update the documentation
Submit a PR with your changes

Acknowledgements¶

We would like to express our sincere gratitude to:

The authors of cited papers who provided valuable feedback on how their work is presented in this survey, greatly improving its accuracy and comprehensiveness.
All contributors who have helped improve this project through issues, pull requests, and discussions.
The open-source community for developing the amazing tools and frameworks that made this project possible.

Special Thanks¶

@chao-peng (Dr. Chao Peng), ByteDance Software Engineering Lab, for providing valuable suggestions on the Challenges and Opportunities section of our survey.
@EuniAI/awesome-code-agents for providing an excellent reference on managing survey papers through documentation systems and inspiring our project structure.

Interactive Exploration¶

Contact Us¶

If you have any questions or suggestions, please contact us through GitHub Issues or email at noranotdor4@gmail.com.