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A Model for Safety Case Confidence Assessment

Abstract : Building a safety case is a common approach to make expert judgement explicit about safety of a system. The issue of confidence in such argumen-tation 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.
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https://hal.archives-ouvertes.fr/hal-01228861
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Submitted on : Friday, November 20, 2015 - 3:23:01 PM
Last modification on : Wednesday, June 1, 2022 - 4:13:58 AM
Long-term archiving on: : Friday, April 28, 2017 - 9:17:25 PM

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Jérémie Guiochet, Quynh Anh Do Hoang, Mohamed Kaâniche. A Model for Safety Case Confidence Assessment. 34th International Conference on Computer Safety, Reliability and Security (SAFECOMP), Sep 2015, Delft, Netherlands. ⟨10.1007/978-3-319-24255-2_23⟩. ⟨hal-01228861⟩

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