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A Framework to Integrate Software Behavior Into Dynamic Probabilistic Risk Assessment by Dongfeng Zhu; Ali Mosleh; Carol Smidts is a Engineering article available to read on EtoBox.
What is A Framework to Integrate Software Behavior Into Dynamic Probabilistic Risk Assessment about?
Software plays an increasingly important role in modern safety-critical systems. Although, research has been done to integrate software into the classical probabilistic risk assessment (PRA) framework, current PRA practice overwhelmingly neglects the contribution of software to system risk. Dynamic probabilistic risk assessment (DPRA) is considered to be the next generation of PRA techniques. DPRA is a set of methods and techniques in which simulation models that represent the behavior of the elements of a system are exercised in order to identify risks and vulnerabilities of the system. The fact remains, however, that modeling software for use in the DPRA framework is also quite complex and very little has been done to address the question directly and comprehensively. This paper develops a methodology to integrate software contributions in the DPRA environment. The framework includes a software representation, and an approach to incorporate the software representation into the DPRA environment SimPRA. The software representation is based on multi-level objects and the paper also proposes a framework to simulate the multi-level objects in the simulation-based DPRA environment. Thi
Who reads A Framework to Integrate Software Behavior Into Dynamic Probabilistic Risk Assessment?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Dongfeng Zhu; Ali Mosleh; Carol Smidts
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0951-8320)
- Published
- 2007
- Language
- EN
- Field
- Engineering (Physical Sciences)