Operationalizing Assurance Cases for Data Scientists:A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning

Jockel, Lisa, Klas, Michael, Gross, Janek et al. (2 more authors) (2023) Operationalizing Assurance Cases for Data Scientists:A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning. In: Kadgien, R., Jedlitschka, A., Janes, A., Lenarduzzi, V. and Li, X., (eds.) International Conference on Product-Focused Software Process Improvement:Proceedings. Product-Focused Software Process Improvement, 10-13 Dec 2023 Lecture Notes in Computer Science . Springer , AUT , pp. 151-158.

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Kadgien, R.
  • Jedlitschka, A.
  • Janes, A.
  • Lenarduzzi, V.
  • Li, X.
Copyright, Publisher and Additional Information:

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

Dates:
  • Published (online): 2 December 2023
  • Accepted: 19 September 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 07 Dec 2023 15:00
Last Modified: 18 Dec 2024 00:41
Published Version: https://doi.org/10.1007/978-3-031-49266-2_10
Status: Published online
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Identification Number: 10.1007/978-3-031-49266-2_10
Open Archives Initiative ID (OAI ID):

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