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    A synthesis of logic and bio-inspired techniques in the design of dependable systems

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    Papadopoulos et al 2016 (634.2Kb)
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    Publication date
    2016-01
    Author
    Papadopoulos, Y.
    Walker, M.
    Parker, D.
    Sharvia, S.
    Bottaci, L.
    Kabir, Sohag
    Azevedo, L.
    Sorokos, I.
    Keyword
    Dependability
    Genetic algorithms
    HiP-HOPS
    MBSA
    Safety integrity levels
    Rights
    © 2016 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Much of the development of model-based design and dependability analysis in the design of dependable systems, including software intensive systems, can be attributed to the application of advances in formal logic and its application to fault forecasting and verification of systems. In parallel, work on bio-inspired technologies has shown potential for the evolutionary design of engineering systems via automated exploration of potentially large design spaces. We have not yet seen the emergence of a design paradigm that effectively combines these two techniques, schematically founded on the two pillars of formal logic and biology, from the early stages of, and throughout, the design lifecycle. Such a design paradigm would apply these techniques synergistically and systematically to enable optimal refinement of new designs which can be driven effectively by dependability requirements. The paper sketches such a model-centric paradigm for the design of dependable systems, presented in the scope of the HiP-HOPS tool and technique, that brings these technologies together to realise their combined potential benefits. The paper begins by identifying current challenges in model-based safety assessment and then overviews the use of meta-heuristics at various stages of the design lifecycle covering topics that span from allocation of dependability requirements, through dependability analysis, to multi-objective optimisation of system architectures and maintenance schedules.
    URI
    http://hdl.handle.net/10454/17435
    Version
    Accepted manuscript
    Citation
    Papadopoulos Y, Walker M, Parker D et al (2016) A synthesis of logic and bio-inspired techniques in the design of dependable systems. Annual Reviews in Control. 41: 170-182.
    Link to publisher’s version
    https://doi.org/10.1016/j.arcontrol.2016.04.008
    Type
    Article
    Collections
    Engineering and Informatics Publications

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