README.md

metadata

title: SWE-Model-Arena
emoji: 🎯
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
hf_oauth: true
pinned: false
short_description: Chatbot arena for software engineering tasks

SWE-Model-Arena: An Interactive Platform for Evaluating Foundation Models in Software Engineering

Welcome to SWE-Model-Arena, an open-source platform designed for evaluating software engineering-focused foundation models (FMs), particularly large language models (LLMs). SWE-Model-Arena benchmarks models in iterative, context-rich workflows that are characteristic of software engineering (SE) tasks.

Key Features

• Multi-Round Conversational Workflows: Evaluate models through extended, context-dependent interactions that mirror real-world SE processes.
• RepoChat Integration: Automatically inject repository context (issues, commits, PRs) into conversations for more realistic evaluations.
• Advanced Evaluation Metrics: Assess models using a comprehensive suite of metrics including:
  • Traditional metrics: Elo score and average win rate
  • Network-based metrics: Eigenvector centrality, PageRank score
  • Community detection: Newman modularity score
  • Consistency score: Quantify model determinism and reliability through self-play matches
• Transparent, Open-Source Leaderboard: View real-time model rankings across diverse SE workflows with full transparency.
• Intelligent Request Filtering: Employ GPT-OSS-20B as a guardrail to automatically filter out non-software-engineering-related requests, ensuring focused and relevant evaluations.

Why SWE-Model-Arena?

Existing evaluation frameworks (e.g. LMArena) often don't address the complex, iterative nature of SE tasks. SWE-Model-Arena fills critical gaps by:

• Supporting context-rich, multi-turn evaluations to capture iterative workflows
• Integrating repository-level context through RepoChat to simulate real-world development scenarios
• Providing multidimensional metrics for nuanced model comparisons
• Focusing on the full breadth of SE tasks beyond just code generation

How It Works

1. Submit a Prompt: Sign in and input your SE-related task (optional: include a repository URL for RepoChat context)
2. Compare Responses: Two anonymous models provide responses to your query
3. Continue the Conversation: Test contextual understanding over multiple rounds
4. Vote: Choose the better model at any point, with ability to re-assess after multiple turns

Getting Started

Prerequisites

• A Hugging Face account
• Basic understanding of software engineering workflows

Usage

1. Navigate to the SWE-Model-Arena platform
2. Sign in with your Hugging Face account
3. Enter your SE task prompt (optionally include a repository URL for RepoChat)
4. Engage in multi-round interactions and vote on model performance

Contributing

We welcome contributions from the community! Here's how you can help:

1. Submit SE Tasks: Share your real-world SE problems to enrich our evaluation dataset
2. Report Issues: Found a bug or have a feature request? Open an issue in this repository
3. Enhance the Codebase: Fork the repository, make your changes, and submit a pull request

Privacy Policy

Your interactions are anonymized and used solely for improving SWE-Model-Arena and FM benchmarking. By using SWE-Model-Arena, you agree to our Terms of Service.

Future Plans

• Analysis of Real-World SE Workloads: Identify common patterns and challenges in user-submitted tasks
• Multi-Round Evaluation Metrics: Develop specialized metrics for assessing model adaptation over successive turns
• Enhanced Community Engagement: Enable broader participation through voting and contributions
• Expanded FM Coverage: Include domain-specific and multimodal foundation models
• Advanced Context Compression: Integrate techniques like LongRope and SelfExtend to manage long-term memory

Contact

For inquiries or feedback, please open an issue in this repository. We welcome your contributions and suggestions!

Citation

Made with ❤️ for SWE-Model-Arena. If this work is useful to you, please consider citing our vision paper:

@inproceedings{zhao2025se,
  title={SE Arena: An Interactive Platform for Evaluating Foundation Models in Software Engineering},
  author={Zhao, Zhimin},
  booktitle={2025 IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering (Forge)},
  pages={78--81},
  year={2025},
  organization={IEEE}
}