Traceable business-to-safety analysis framework for safety-critical machine learning systems

Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi. Traceable business-to-safety analysis framework for safety-critical machine learning systems. In Ivica Crnkovic, editor, Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, CAIN 2022, Pittsburgh, Pennsylvania, May 16-24, 2022. pages 50-51, ACM, 2022. [doi]

@inproceedings{HusenWTYFT22,
  title = {Traceable business-to-safety analysis framework for safety-critical machine learning systems},
  author = {Jati H. Husen and Hironori Washizaki and Hnin Thandar Tun and Nobukazu Yoshioka and Yoshiaki Fukazawa and Hironori Takeuchi},
  year = {2022},
  doi = {10.1145/3522664.3528619},
  url = {https://doi.org/10.1145/3522664.3528619},
  researchr = {https://researchr.org/publication/HusenWTYFT22},
  cites = {0},
  citedby = {0},
  pages = {50-51},
  booktitle = {Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, CAIN 2022, Pittsburgh, Pennsylvania, May 16-24, 2022},
  editor = {Ivica Crnkovic},
  publisher = {ACM},
  isbn = {978-1-4503-9275-4},
}