A model-based extension to HiP-HOPS for dynamic fault propagation studies
Kabir, Sohag and Papadopoulos, Yiannis and Walker, Martin and Parker, David and Aizpurua, Jose Ignacio and Lampe, Jorg and Rude, Erich; Bozzano, Marco and Papadopoulos, Yiannis, eds. (2017) A model-based extension to HiP-HOPS for dynamic fault propagation studies. In: Model-Based Safety and Assessment - 5th International Symposium, IMBSA 2017. Lecture Notes in Computer Science, LNCS 1043 . Springer, ITA. ISBN 978-3-319-64118-8 (https://doi.org/10.1007/978-3-319-64119-5)
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HiP-HOPS is a model-based approach for assessing the dependability of safety-critical systems. The method combines models, logic, probabilities and nature-inspired algorithms to provide advanced capabilities for design optimisation, requirement allocation and safety argument generation. To deal with dynamic systems, HiP-HOPS has introduced temporal operators and a temporal logic to represent and assess event sequences in component failure modelling. Although this approach has been shown to work, it is not entirely consistent with the way designers tend to express operational dynamics in models which show mode and state sequences. To align HiP-HOPS better with typical design techniques, in this paper, we extend the method with the ability to explicitly consider different modes of operation. With this added capability HiP-HOPS can create and analyse temporal fault trees from architectural models of a system which are augmented with mode information
ORCID iDs
Kabir, Sohag, Papadopoulos, Yiannis, Walker, Martin, Parker, David, Aizpurua, Jose Ignacio ORCID: https://orcid.org/0000-0002-8653-6011, Lampe, Jorg and Rude, Erich; Bozzano, Marco and Papadopoulos, Yiannis-
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Item type: Book Section ID code: 61608 Dates: DateEvent2 August 2017Published8 May 2017AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 18 Aug 2017 16:11 Last modified: 11 Nov 2024 15:10 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/61608