TY - CHAP A1 - Costa de Araujo, João Paulo A1 - Balu, Balahari Vignesh A1 - Reichmann, Eik A1 - Kelly, Jessica A1 - Kugele, Stefan A1 - Mata, Núria A1 - Grunske, Lars ED - Koziolek, Anne ED - Lamprecht, Anna-Lena ED - Thüm, Thomas ED - Burger, Erik T1 - Applying Concept-Based Models for Enhanced Safety Argumentation – Summary T2 - Software Engineering 2025: Proceedings N2 - 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) UR - https://doi.org/10.18420/se2025-18 Y1 - 2025 UR - https://doi.org/10.18420/se2025-18 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-57457 SN - 2944-7682 SP - 65 EP - 66 PB - Gesellschaft für Informatik CY - Bonn ER -