Paper
28 April 2023 Transformation method from AltaRica3.0 to SBIP model
Hongbin He, Lin Yang, Long Zhang, Feng Yang
Author Affiliations +
Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126260G (2023) https://doi.org/10.1117/12.2674393
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China
Abstract
In order to provide reliability and safety assessments for safety-critical systems, Model-Based Safety Analysis (MBSA) methods have been developed, of which AltaRica3.0 is one representative method. However, there are still several limitations. The most important one is its inability to verify system behaviors when the system has stochastic behaviors. As a widely used safety analysis and evaluation software, SBIP is an emphasis on formal modeling and statistical analysis of safety-critical systems exhibiting stochastic behaviors. In this paper, we present a transformation approach that integrates the advantages of AltaRica3.0 and SBIP, realizes the function of conducting multiple analyses by modeling the system only once, reduces the modeling cost of safety-critical systems, and improves the reliability and safety analysis efficiency of safety-critical systems.
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Hongbin He, Lin Yang, Long Zhang, and Feng Yang "Transformation method from AltaRica3.0 to SBIP model", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126260G (28 April 2023); https://doi.org/10.1117/12.2674393
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KEYWORDS
Systems modeling

Stochastic processes

Data modeling

Safety

Statistical modeling

Modeling

Analytical research

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