一句话：提出OSSPREY平台，利用Transformer模型预测GitHub项目可持续性并提供基于研究的干预建议。
开源软件项目常面临可持续性挑战。本文提出OSSPREY，一个AI驱动的平台，可预测任何GitHub项目的可持续性。它收集纵向社会技术数据（如提交、issue、贡献者交互），使用基于Transformer的模型生成逐月可持续性预测。当检测到项目衰退时，它从已发表的软件工程研究中推荐基于证据的干预措施。OSSPREY将数据抓取、预测和可操作指导集成到交互式仪表板中，使维护者能够监控项目健康、预见衰退并采取针对性策略。通过连接实时项目数据与有研究支持的见解，OSSPREY为大规模维持OSS项目提供了实用工具。代码库链接至项目网站，并提供演示视频。
Open source software (OSS) underpins modern software infrastructure, yet many projects struggle with long-term sustainability. We introduce OSSPREY, an AI-powered platform that can predict the sustainability of any GitHub-hosted project. OSSPREY collects longitudinal socio-technical data, such as: commits, issues, and contributor interactions, and uses a transformer-based model to generate month-by-month sustainability forecasts. When project downturns are detected, it recommends evidence-based interventions drawn from published software engineering studies. OSSPREY integrates scraping, forecasting, and actionable guidance into an interactive dashboard, enabling maintainers to monitor project health, anticipate decline, and respond with targeted strategies. By connecting real-time project data with research-backed insights, OSSPREY offers a practical tool for sustaining OSS projects at scale.The codebase is linked to the project website at: https://oss-prey.github.io/OSSPREY-Website/The screencast is available at: https://www.youtube.com/watch?v=N7a0v4hPylU
DOI 原文 ·
@inproceedings{paperbot9396,
title = {OSSPREY: AI-Driven Forecasting and Intervention for OSS Project Sustainability},
author = {Nafiz Imtiaz Khan and Priyal Soni and Arjun Ashok and Vladimir Filkov},
booktitle = {ASE},
year = {2025},
doi = {10.1109/ase63991.2025.00378}
}