Abstract
Probabilistic Model Checking is a Formal Verification method which is able to guarantee, according to a specified probability, the correctness of a system that presents stochastic behavior. It is an approach which has been applied to several different application domains such as biology, communication and network protocols, security, dependability, just to name a few. In this paper, we realize about the feasibility of Probabilistic Model Checking to analyze power supply systems. We modelled and evaluated two types of systems: a solar power system and batteries of artificial satellites. Our findings show that Probabilistic Model Checking provides accurate results and can be used as a complementary approach to traditional simulation tools for Model-Driven Development of complex industrial applications.
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Acknowledgments
The authors would like to thank ITEMM for the help in carrying out this work and CNPq for the financial support on the process number 130878/2018-9.
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Dioto, M., Eras, E.R., de Santiago Júnior, V.A. (2019). On the Feasibility of Probabilistic Model Checking to Analyze Battery Sustained Power Supply Systems. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11620. Springer, Cham. https://doi.org/10.1007/978-3-030-24296-1_59
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DOI: https://doi.org/10.1007/978-3-030-24296-1_59
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