Systematic model-based safety assessment via probabilistic model checking

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Abstract

Safety assessment is a well-established process for assuring the safety and reliability of critical (aeronautical) systems. It uses probabilistic (quantitative) analysis to provide precise measures about the safety requirements of a system. Traditionally, quantitative safety assessment uses fault-tree analysis, but certification authorities also allow the use of Markov models. In this paper we propose a strategy for quantitative safety assessment based on the Prism model-checker. Prism models are extracted systematically from a high-level model via the application of translation rules. We illustrate our strategy with a representative system design from the airborne industry. © 2010 Springer-Verlag.

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Gomes, A., Mota, A., Sampaio, A., Ferri, F., & Buzzi, J. (2010). Systematic model-based safety assessment via probabilistic model checking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6415 LNCS, pp. 625–639). https://doi.org/10.1007/978-3-642-16558-0_50

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