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A Runtime Safety Analysis Concept for Open Adaptive Systems

: Kabir, Sohag; Sorokos, Ioannis; Aslansefat, Koorosh; Papadopoulos, Yiannis; Gheraibia, Youcef; Reich, Jan; Saimler, Merve; Wei, Ran


Papadopoulos, Y.:
Model-based safety and assessment. 6th International Symposium, IMBSA 2019. Proceedings : Thessaloniki, Greece, October 16-18, 2019
Cham: Springer, 2019 (Lecture Notes in Computer Science 11842)
ISBN: 978-3-030-32871-9
ISBN: 3-030-32871-6
ISBN: 978-3-030-32872-6
International Symposium on Model-Based Safety and Assessment <6, 2019, Thessaloniki>
European Commission EC
H2020; 732242; DEIS
Dependability Engineering Innovation for CPS
Fraunhofer IESE ()
Platooning; Bayesian networks; Model-based dependability analysis; Runtime assurance

In 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.