2014
DOI: 10.2172/1130428
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Update on Common-Cause Failure Experience and Mitigation Practices

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Cited by 3 publications
(3 citation statements)
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“…Among these, software diversity evaluates diversity based on different algorithms, logic, program architecture, timing and/or order of execution, operating systems, and computer languages. ORNL/TM-2013/563 evaluates diversity based on diverse inputs for data diversity, separate developments, diverse development teams, diverse requirements or specifications for design diversity, and functional diversity [32].…”
Section: Motivationmentioning
confidence: 99%
“…Among these, software diversity evaluates diversity based on different algorithms, logic, program architecture, timing and/or order of execution, operating systems, and computer languages. ORNL/TM-2013/563 evaluates diversity based on diverse inputs for data diversity, separate developments, diverse development teams, diverse requirements or specifications for design diversity, and functional diversity [32].…”
Section: Motivationmentioning
confidence: 99%
“…In addition, there are no readily available models and metrics to develop systematic methods, quantifiable measures, and objective criteria for evaluating CCF mitigation approaches. This research began with an analysis of diversity approaches and experience from the international nuclear power industry, as well as other industries and organizations, capturing expert knowledge and lessons learned, determining best practices, and evaluating the remaining knowledge gaps [2]. The primary goal of the current stage of research is to establish a taxonomy to provide the basis for characterizing and analyzing CCF vulnerability and for assessing the suitability for various mitigation strategies.…”
Section: Problem Statement and Research Approachmentioning
confidence: 99%
“…The starting point for this research involved investigating diversity approaches and experience from the international nuclear power industry as well as other industries and organizations, capturing expert knowledge and lessons learned, determining best practices, and evaluating the knowledge gaps that remain [2]. Subsequently, the research established a taxonomy to provide the fundamental basis for characterizing and analyzing CCF vulnerability and for assessing the suitability for various mitigation strategies [3].…”
Section: Research Approachmentioning
confidence: 99%