Applying Concept-Based Models for Enhanced Safety Argumentation
| dc.contributor.author | Costa de Araujo, João Paulo | |
| dc.contributor.author | Balu, Balahari Vignesh | |
| dc.contributor.author | Reichmann, Eik | |
| dc.contributor.author | Kelly, Jessica | |
| dc.contributor.author | Kuegele, Stefan | |
| dc.contributor.author | Mata, Núria | |
| dc.contributor.author | Grunske, Lars | |
| dc.contributor.editor | Koziolek, Anne | |
| dc.contributor.editor | Lamprecht, Anna-Lena | |
| dc.contributor.editor | Thüm, Thomas | |
| dc.contributor.editor | Burger, Erik | |
| dc.date.accessioned | 2025-02-14T09:36:29Z | |
| dc.date.available | 2025-02-14T09:36:29Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | 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) | en |
| dc.identifier.doi | 10.18420/se2025-18 | |
| dc.identifier.eissn | 2944-7682 | |
| dc.identifier.issn | 2944-7682 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/45778 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | Software Engineering 2025 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-360 | |
| dc.subject | Concept Bottleneck Models | |
| dc.subject | Safety Argumentation | |
| dc.subject | Image Classification | |
| dc.subject | Autonomous Driving | |
| dc.title | Applying Concept-Based Models for Enhanced Safety Argumentation | en |
| mci.conference.date | 22.-28. Februar 2025 | |
| mci.conference.location | Karlsruhe | |
| mci.conference.sessiontitle | Scientific Programme | |
| mci.reference.pages | 65-66 |
Dateien
Originalbündel
1 - 1 von 1