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A Runtime Safety Analysis Concept for Open Adaptive Systems

; 
Sorokos, I.
; 
Aslansefat, K.
; 
Papadopoulos, Y.
; 
Gheraibia, Y.
; 
Reich, J.
; 
Saimler, M.
; 
Wei, R.
Publication Date
2019-10-16
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Keywords
Platooning, Bayesian networks, Model-based dependability analysis, Runtime assurance, Autonomous systems
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Peer-Reviewed
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Accepted for publication
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Engineering and Digital Technology Publications
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Abstract
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.
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http://hdl.handle.net/10454/17416
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Citation
Kabir 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.
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This conference paper is available to view at http://hdl.handle.net/10454/17415.