Confidence in safety critical systems is often justified by safety arguments. The excessive complexity of systems nowadays introduces more uncertainties for the arguments reviewing. This paper proposes a framework to support the argumentation assessment based on experts’ decision and confidence in the decision for the lowest level claims of the arguments. Expert opinion is extracted and converted in a quantitative model based on Dempster-Shafer theory. Several types of argument and associated formulas are proposed. A preliminary validation of this framework is realized through a survey for safety experts.
CITATION STYLE
Wang, R., Guiochet, J., & Motet, G. (2017). Confidence assessment framework for safety arguments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10488 LNCS, pp. 55–68). Springer Verlag. https://doi.org/10.1007/978-3-319-66266-4_4
Mendeley helps you to discover research relevant for your work.