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dc.contributor.advisorSmidts, Carolen_US
dc.contributor.advisorMosleh, Alien_US
dc.contributor.authorZhu, Dongfengen_US
dc.date.accessioned2006-02-04T08:19:08Z
dc.date.available2006-02-04T08:19:08Z
dc.date.issued2005-12-21en_US
dc.identifier.urihttp://hdl.handle.net/1903/3305
dc.description.abstractSoftware plays an increasingly important role in modern safety-critical systems. Although research has been done to integrate software into the classical Probability Risk Assessment (PRA) framework, current PRA practice overwhelmingly neglects the contribution of software to system risk. The objective of this research is to develop a methodology to integrate software contributions in the Dynamic Probabilistic Risk Assessment (DPRA) environment. DPRA is considered to be the next generation of PRA techniques. It 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. DPRA allows consideration of dynamic interactions of system elements and physical variables. 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 dissertation describes a framework and a set of techniques to extend the DPRA approach to allow consideration of the software contributions on system risk. The framework includes a software representation, an approach to incorporate the software representation into the DPRA environment SimPRA, and an experimental demonstration of the methodology. This dissertation also proposes a framework to simulate the multi-level objects in the simulation based DPRA environment. This is a new methodology to address the state explosion problem. The results indicate that the DPRA simulation performance is improved using the new approach. The entire methodology is implemented in the SimPRA software. An easy to use tool is developed to help the analyst to develop the software model. This study is the first systematic effort to integrate software risk contributions into the dynamic PRA environment.en_US
dc.format.extent949586 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleINTEGRATING SOFTWARE BEHAVIOR INTO DYNAMIC PROBABILISTIC RISK ASSESSMENTen_US
dc.typeDissertationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentReliability Engineeringen_US
dc.subject.pqcontrolledEngineering, System Scienceen_US
dc.subject.pqcontrolledComputer Scienceen_US
dc.subject.pquncontrolledProbabilistic Risk Assessmenten_US
dc.subject.pquncontrolledsoftware modelingen_US
dc.subject.pquncontrolledDynamic PRAen_US
dc.subject.pquncontrolledSoftware Reliabilityen_US
dc.subject.pquncontrolledSoftware Safetyen_US


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