• DocumentCode
    2176170
  • Title

    Stepwise construction and refinement of dependability models

  • Author

    Betous-Almeida, Cláudia ; Kanoun, Karama

  • Author_Institution
    LAAS-CNRS, Toulouse, France
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    515
  • Lastpage
    524
  • Abstract
    This paper presents a stepwise approach for dependability modeling, based on Generalized Stochastic Petri Nets (GSPNs). The first-step model called functional-level model, can be built as early as system functional specifications and then completed by the structural model as soon as the system architecture is known, even at a very high level. The latter can be refitted according to three different aspects: component decomposition, state and event fine-tuning and distribution adjustment to take into account increasing event rates. We define specific rules to make the successive transformations as easy and systematic as possible. This approach allows the various dependencies to be taken into account at the right level of abstraction: functional dependency, structural dependency and those induced by non-exponential distributions. A part of the approach is applied to an instrumentation and control system (I&C) in power plants.
  • Keywords
    Petri nets; computerised instrumentation; fault tolerant computing; power system control; Generalized Stochastic Petri Nets; component decomposition; event fine-tuning; functional dependency; functional-level model; instrumentation; nonexponential distributions; power plant control system; stepwise dependability model construction; structural dependency; structural model; system architecture; system functional specifications; Application software; Computer architecture; Control systems; Instruments; Petri nets; Power generation; Power system modeling; Proposals; Qualifications; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Systems and Networks, 2002. DSN 2002. Proceedings. International Conference on
  • Print_ISBN
    0-7695-1101-5
  • Type

    conf

  • DOI
    10.1109/DSN.2002.1028944
  • Filename
    1028944