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Integrating model checking with HiP-HOPS in model-based safety analysis

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  • Sharvia, Septavera
  • Papadopoulos, Yiannis

Abstract

The ability to perform an effective and robust safety analysis on the design of modern safety–critical systems is crucial. Model-based safety analysis (MBSA) has been introduced in recent years to support the assessment of complex system design by focusing on the system model as the central artefact, and by automating the synthesis and analysis of failure-extended models. Model checking and failure logic synthesis and analysis (FLSA) are two prominent MBSA paradigms. Extensive research has placed emphasis on the development of these techniques, but discussion on their integration remains limited. In this paper, we propose a technique in which model checking and Hierarchically Performed Hazard Origin and Propagation Studies (HiP-HOPS) – an advanced FLSA technique – can be applied synergistically with benefit for the MBSA process. The application of the technique is illustrated through an example of a brake-by-wire system.

Suggested Citation

  • Sharvia, Septavera & Papadopoulos, Yiannis, 2015. "Integrating model checking with HiP-HOPS in model-based safety analysis," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 64-80.
    • Handle: RePEc:eee:reensy:v:135:y:2015:i:c:p:64-80
    DOI: 10.1016/j.ress.2014.10.025
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    Cited by:

    1. Song, Xueying & Qi, Lei & Liu, Shiyan & Ding, Shuiting & Li, Daqing, 2024. "Simple analysis of complex system safety based on Finite State Machine Network and phase space theory," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    2. Bolton, Matthew L. & Molinaro, Kylie A. & Houser, Adam M., 2019. "A formal method for assessing the impact of task-based erroneous human behavior on system safety," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 168-180.
    3. Pakonen, Antti & Buzhinsky, I & Björkman, K, 2021. "Model checking reveals design issues leading to spurious actuation of nuclear instrumentation and control systems," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    4. Cuer, Romain & Piétrac, Laurent & Niel, Eric & Diallo, Saidou & Minoiu-Enache, Nicoleta & Dang-Van-Nhan, Christophe, 2018. "A formal framework for the safe design of the Autonomous Driving supervision," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 29-40.
    5. Bolbot, Victor & Theotokatos, Gerasimos & Bujorianu, Luminita Manuela & Boulougouris, Evangelos & Vassalos, Dracos, 2019. "Vulnerabilities and safety assurance methods in Cyber-Physical Systems: A comprehensive review," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 179-193.
    6. Gan, Chenyu & Ding, Shuiting & Qiu, Tian & Liu, Peng & Ma, Qinglin, 2024. "Model-based safety analysis with time resolution (MBSA-TR) method for complex aerothermal–mechanical systems of aero-engines," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    7. Pira, Einollah & Rafe, Vahid & Nikanjam, Amin, 2019. "Using evolutionary algorithms for reachability analysis of complex software systems specified through graph transformation," Reliability Engineering and System Safety, Elsevier, vol. 191(C).

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