Abstract
We show how fault injection together with recent advances in stochastic model checking can be combined to form a crucial ingredient for improving quantitative safety analysis. Based on standard design notations (Statecharts) annotated with fault occurrence distributions we compute to what extent certain fault configurations contribute to the probability of reaching a safety-critical state.
This work is supported by the German Research Council (DFG) as part of the Transregional Collaborative Research Center “Automatic Verification and Analysis of Complex Systems” (SFB/TR 14 AVACS). See www.avacs.org for more information.
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Böde, E., Peikenkamp, T., Rakow, J., Wischmeyer, S. (2008). Model Based Importance Analysis for Minimal Cut Sets. In: Cha, S.(., Choi, JY., Kim, M., Lee, I., Viswanathan, M. (eds) Automated Technology for Verification and Analysis. ATVA 2008. Lecture Notes in Computer Science, vol 5311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88387-6_27
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DOI: https://doi.org/10.1007/978-3-540-88387-6_27
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