Integrated Analysis of Complex Safety Critical Systems
Author(s) -
S P Wilson,
John McDermid
Publication year - 1995
Publication title -
the computer journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 64
eISSN - 1460-2067
pISSN - 0010-4620
DOI - 10.1093/comjnl/38.10.765
Subject(s) - variety (cybernetics) , computer science , maintainability , risk analysis (engineering) , consistency (knowledge bases) , reliability engineering , reliability (semiconductor) , reliability block diagram , life critical system , underpinning , set (abstract data type) , trustworthiness , fault tree analysis , systems engineering , software , software engineering , engineering , computer security , artificial intelligence , medicine , power (physics) , physics , civil engineering , quantum mechanics , programming language
Safety Critical Systems are those systems that can potentially lead to loss of life, injury, and environmental damage. Therefore such systems have to be designed and built to meet a variety of functional and non-functional requirements, including safety, reliability, availability, and maintainability. It is essential to assess, as an independent activity, the extent to which these requirements have been met, and for complex systems there is no single analysis technique which can be employed. It is therefore necessary to use a number of different safety (and reliability) analysis techniques to perform an assessment. Using a variety of techniques raises issues of consistency-if the individual analyses and models are inconsistent with respect to each other then the overall assessment is likely to be inconsistent, and therefore not trustworthy. In this paper we present a set of rules that should hold between a representative set of safety analysis techniques, demonstrate how they can be enforced and checked by an underpinning data model, and describe a software tool (based on these ideas) to support integraed safety analysis.
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