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dc.contributor.authorKabir, Sohag
dc.contributor.authorSorokos, I.
dc.contributor.authorAslansefat, K.
dc.contributor.authorPapadopoulos, Y.
dc.contributor.authorGheraibia, Y.
dc.contributor.authorReich, J.
dc.contributor.authorSaimler, M.
dc.contributor.authorWei, R.
dc.date.accessioned2019-10-18T11:52:07Z
dc.date.accessioned2019-11-11T13:31:25Z
dc.date.available2019-10-18T11:52:07Z
dc.date.available2019-11-11T13:31:25Z
dc.date.issued2019-10-16
dc.identifier.citationKabir S, Sorokos I, Aslansefat K et al (2019) A Runtime Safety Analysis Concept for Open Adaptive Systems. 6th International Symposium on Model-Based Safety and Assessment (IMBSA 2019) 16-18 Oct 2019. Thessaloniki, Greece.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17416
dc.descriptionNoen_US
dc.description.abstractIn the automotive industry, modern cyber-physical systems feature cooperation and autonomy. Such systems share information to enable collaborative functions, allowing dynamic component integration and architecture reconfiguration. Given the safety-critical nature of the applications involved, an approach for addressing safety in the context of reconfiguration impacting functional and non-functional properties at runtime is needed. In this paper, we introduce a concept for runtime safety analysis and decision input for open adaptive systems. We combine static safety analysis and evidence collected during operation to analyse, reason and provide online recommendations to minimize deviation from a system’s safe states. We illustrate our concept via an abstract vehicle platooning system use case.en_US
dc.language.isoenen_US
dc.publisherSpringer
dc.subjectPlatooningen_US
dc.subjectBayesian networksen_US
dc.subjectModel-based dependability analysisen_US
dc.subjectRuntime assuranceen_US
dc.subjectAutonomous systemsen_US
dc.titleA Runtime Safety Analysis Concept for Open Adaptive Systemsen_US
dc.status.refereedYesen_US
dc.type.versionNo full-text in the repositoryen_US
dc.description.publicnotesThis conference paper is available to view at http://hdl.handle.net/10454/17415.en_US
dc.date.updated2019-10-18T10:52:11Z


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