(Software Engineering 2025, 2025) Costa de Araujo, João Paulo; Balu, Balahari Vignesh; Reichmann, Eik; Kelly, Jessica; Kuegele, Stefan; Mata, Núria; Grunske, Lars
In this extended abstract we summarize our work on using Concept Bottleneck Models (CBMs) for an enhanced safety argumentation of vision-based Machine Learning (ML) perception components in safety critical systems. This paper has been published at the International Symposium on Software Reliability Engineering (ISRRE’24)