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Integrated analysis environment for high impact systems
Author(s) -
M. Martinez,
Joan Davis,
Jonathan Scott,
János Sztipanovits,
Gábor Karsai
Publication year - 1998
Language(s) - English
Resource type - Reports
DOI - 10.2172/574186
Subject(s) - computer science , fault tree analysis , model checking , reliability (semiconductor) , consistency (knowledge bases) , reliability engineering , binary decision diagram , dependability , domain (mathematical analysis) , software engineering , theoretical computer science , engineering , artificial intelligence , mathematical analysis , power (physics) , physics , mathematics , quantum mechanics
Modeling and analysis of high consequence, high assurance systems requires special modeling considerations. System safety and reliability information must be captured in the models. Previously, high consequence systems were modeled using separate, disjoint models for safety, reliability, and security. The MultiGraph Architecture facilitates the implementation of a model integrated system for modeling and analysis of high assurance systems. Model integrated computing allows an integrated modeling technique to be applied to high consequence systems. Among the tools used for analyzing safety and reliability are a behavioral simulator and an automatic fault tree generation and analysis tool. Symbolic model checking techniques are used to efficiently investigate the system models. A method for converting finite state machine models to ordered binary decision diagrams allows the application of symbolic model checking routines to the integrated system models. This integrated approach to modeling and analysis of high consequence systems ensures consistency between the models and the different analysis tools

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