Abstract
Dynamic fault trees (DFTs) have emerged as an important tool for capturing the dynamic behavior of system failure. These DFTs are analyzed qualitatively and quantitatively using stochastic or algebraic methods. Model checking has been proposed to conduct the failure analysis of systems using DFTs. However, it has not been used for DFT qualitative analysis. Moreover, its analysis time grows exponentially with the number of states and its reduction algorithms are usually not formally verified. To overcome these limitations, we propose a methodology to perform the formal analysis of DFTs using an integration of theorem proving and model checking. We formalize the DFT gates in higher-order logic and formally verify many algebraic simplification properties using theorem proving. Based on this, we prove the equivalence between raw DFTs and their reduced forms to enable the formal qualitative analysis (determine the cut sets and sequences) of DFTs with theorem proving. We then use model checking to perform the quantitative analysis (compute probabilities of failure) of the formally verified reduced DFT. We applied our methodology on five benchmarks and the results show that the formally verified reduced DFT was analyzed using model checking with up to six times less states and up to 133000 times faster.
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Elderhalli, Y., Hasan, O., Ahmad, W., Tahar, S. (2018). Formal Dynamic Fault Trees Analysis Using an Integration of Theorem Proving and Model Checking. In: Dutle, A., Muñoz, C., Narkawicz, A. (eds) NASA Formal Methods. NFM 2018. Lecture Notes in Computer Science(), vol 10811. Springer, Cham. https://doi.org/10.1007/978-3-319-77935-5_10
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DOI: https://doi.org/10.1007/978-3-319-77935-5_10
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