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Stepwise construction and refinement of dependability models

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 archi...

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Main Authors: Betous-Almeida, C., Kanoun, K.
Format: Conference Proceeding
Language:English
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Kanoun, K.
description 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.
doi_str_mv 10.1109/DSN.2002.1028944
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subjects Application software
Applied sciences
Computer architecture
Computer science
control theory
systems
Computer systems performance. Reliability
Control systems
Exact sciences and technology
Instruments
Petri nets
Power generation
Power system modeling
Proposals
Qualifications
Software
Stochastic processes
title Stepwise construction and refinement of dependability models
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