SAFA Official Dataset

Contains the official SAFA dataset artifacts released as part of "Real-World Traceability Patterns for Generative AI Systems: With Insights from the SAFA Dataset" published in RAISE 2026 held in conjunction with ICSE 2026. This contains a snapshot of the projects natural language artifacts as well as the source code. The on-going source code project can be found https://github.com/ND-SAFA/safa. If you use this dataset, please cite: Katherine R. Dearstyne, Jane Cleland-Huang, and Alberto Rodriguez. 2026. Real-World Traceability Patterns for Generative AI Systems: With Insights from the SAFA Dataset. In Proceedings of the 2nd International Workshop on Requirements Engineering for AI-powered SoftwarE (RAISE '26), April 12–18, 2026, Rio de Janeiro, Brazil. ACM.https://doi.org/10.1145/3786174.3788354本数据集收录了发表于与ICSE 2026联合举办的RAISE 2026会议的论文《面向生成式AI系统的现实世界可追溯性模式：来自SAFA数据集（SAFA Dataset）的洞察》（英文原标题：Real-World Traceability Patterns for Generative AI Systems: With Insights from the SAFA Dataset）所发布的官方SAFA数据集相关制品。本数据集涵盖项目的自然语言制品快照及源代码。当前持续维护的源代码项目可访问地址为：https://github.com/ND-SAFA/safa。 若使用本数据集，请引用以下文献： Katherine R. Dearstyne、Jane Cleland-Huang与Alberto Rodriguez. 2026. 面向生成式AI系统的现实世界可追溯性模式：来自SAFA数据集的洞察. 收录于第二届人工智能赋能软件工程需求工程国际研讨会（International Workshop on Requirements Engineering for AI-powered SoftwarE, RAISE '26）会议论文集，2026年4月12日至18日，巴西里约热内卢。美国计算机协会（ACM）。DOI: 10.1145/3786174.3788354