Various Ways to Quantify BDMPs

@article{Bouissou2020VariousWT,
  title={Various Ways to Quantify BDMPs},
  author={M. Bouissou and Shahid Khan and J. Katoen and P. Krc{\'a}l},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.13283},
  pages={1-14}
}
A Boolean logic driven Markov process (BDMP) is a dependability analysis model that defines a continuous-time Markov chain (CTMC). This formalism has high expressive power, yet it remains readable because its graphical representation stays close to standard fault trees. The size of a BDMP is roughly speaking proportional to the size of the system it models, whereas the size of the CTMC specified by this BDMP suffers from exponential growth. Thus quantifying large BDMPs can be a challenging task… Expand
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