SAFA Official Dataset

Read full text
Authors: Katherine R. Dearstyne, Alberto Daniel Rodriguez, Jane Cleland‐Huang
Cited by: 0

Abstract

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

Fields of Study & Subjects

Software Engineering Research Software Engineering Techniques and Practices Advanced Software Engineering Methodologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 January 2026
Document type
Dataset