SWE-Sharp-Bench

# SWE-Sharp-Bench

SWE-Sharp-Bench is a comprehensive benchmark suite for evaluating software engineering capabilities of AI agents and models on C# and .NET codebases. This benchmark extends the SWE-Bench framework to the C# ecosystem, providing real-world software engineering tasks from popular open-source repositories.

Code - https://github.com/microsoft/prose/tree/main/misc/SWE-Sharp-Bench

Research Paper Draft & Benchmark Analysis: https://aka.ms/swesharparxiv

## Contact

If you have suggestions or any questions, please raise an issue on Github or contact us at [e-mail] .

## Citation

If you find our work helpful for your research, please consider citing our work.

```
@misc{mhatre2025swesharpbenchreproduciblebenchmarkc,
title={SWE-Sharp-Bench: A Reproducible Benchmark for C# Software Engineering Tasks},
author={Sanket Mhatre and Yasharth Bajpai and Sumit Gulwani and Emerson Murphy-Hill and Gustavo Soares},
year={2025},
eprint={2511.02352},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2511.02352},
}
```

# SWE-Sharp-Bench
SWE-Sharp-Bench是一套用于评估AI智能体（AI Agent）与大语言模型（Large Language Model，LLM）在C#及.NET代码库上软件工程能力的综合基准测试套件。本基准将SWE-Bench框架拓展至C#生态系统，提供源自热门开源仓库的真实软件工程任务。

代码仓库：https://github.com/microsoft/prose/tree/main/misc/SWE-Sharp-Bench
研究论文草案与基准测试分析：https://aka.ms/swesharparxiv

## 联系我们
若您有任何建议或疑问，请在GitHub上提交Issue，或通过邮箱[e-mail]与我们取得联系。

## 引用
若您的研究工作得益于本项目，请考虑引用我们的成果。

@misc{mhatre2025swesharpbenchreproduciblebenchmarkc,
title={SWE-Sharp-Bench: A Reproducible Benchmark for C# Software Engineering Tasks},
author={Sanket Mhatre and Yasharth Bajpai and Sumit Gulwani and Emerson Murphy-Hill and Gustavo Soares},
year={2025},
eprint={2511.02352},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2511.02352},
}