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- ArticleDecember 2023
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning
- Lisa Jöckel,
- Michael Kläs,
- Janek Groß,
- Pascal Gerber,
- Markus Scholz,
- Jonathan Eberle,
- Marc Teschner,
- Daniel Seifert,
- Richard Hawkins,
- John Molloy,
- Jens Ottnad
Product-Focused Software Process ImprovementPages 151–158https://doi.org/10.1007/978-3-031-49266-2_10AbstractAssurance Cases (ACs) are an established approach in safety engineering to argue quality claims in a structured way. In the context of quality assurance for Machine Learning (ML)-based software components, ACs are also being discussed and appear ...
