A Model for Safety Case Confidence Assessment

Building a safety case is a common approach to make expert judgement explicit about safety of a system. The issue of confidence in such argumentation is still an open research field. Providing quantitative estimation of confidence is an interesting approach to manage complexity of arguments. This pa...

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Bibliographic Details
Published inarXiv.org
Main Authors Guiochet, Jérémie, Quynh Anh Do Hoang, Kaaniche, Mohamed
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 20.11.2015
Subjects
Bayesian analysis
Belief networks
Computer Science - Artificial Intelligence
Safety
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Summary:Building a safety case is a common approach to make expert judgement explicit about safety of a system. The issue of confidence in such argumentation is still an open research field. Providing quantitative estimation of confidence is an interesting approach to manage complexity of arguments. This paper explores the main current approaches, and proposes a new model for quantitative confidence estimation based on Belief Theory for its definition, and on Bayesian Belief Networks for its propagation in safety case networks.
ISSN:2331-8422
DOI:10.48550/arxiv.1512.04467