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    A Runtime Safety Analysis Concept for Open Adaptive Systems

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    A Runtime Safety Analysis Concept for Open Adaptive Systems.pdf (724.0Kb)
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    Publication date
    2019
    Author
    Kabir, Sohag
    Sorokos, I.
    Aslansefat, K.
    Papadopoulos, Y.
    Gheraibia, Y.
    Reich, J.
    Saimler, M.
    Wei, R.
    Keyword
    Platooning
    Bayesian networks
    Model-based dependability analysis
    Runtime assurance
    Autonomous systems
    Rights
    (c) 2019 Springer Nature Switzerland AG. Full-text reproduced with publisher permission.
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    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.
    URI
    http://hdl.handle.net/10454/17415
    Version
    Accepted manuscript
    Citation
    Kabir S, Sorokos I, Aslansefat K et al (2019) A Runtime Safety Analysis Concept for Open Adaptive Systems. In: Papadopoulos Y, Aslansefat K, Katsaros P et al (Eds) Model-Based Safety and Assessment. IMBSA 2019. Lecture Notes in Computer Science. Cham: Springer. 11842: 332-346.
    Link to publisher’s version
    https://doi.org/10.1007/978-3-030-32872-6_22
    Type
    Conference paper
    Collections
    Engineering and Informatics Publications

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