Systematic model-based safety assessment via probabilistic model checking

Authors:
Adriano Gomes;Alexandre Mota;Augusto Sampaio;Felipe Ferri;Julio Buzzi
Affiliations:
Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil;Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil;Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil;Embraer, São José dos Campos, Brazil;National Civil Aviation Agency, Brazil and Embraer, São José dos Campos, Brazil
Venue:
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
Year:
2010

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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.