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Analytical toolset for model-based stochastic error propagation analysis: extension and optimization towards industrial requirements / T. I. Fabarisov, N. I. Yusupova, K. Ding [et al.]. — Текст: непосредственный // Системная инженерия и информационные технологии. – 2019. – Т. 1 № 1. — С. 41-46 — <URL:http://siit.ugatu.su/index.php/journal/article/view/7/22>.Record create date: 4/29/2020 Subject: Вычислительная техника; Системы управления базами данных (СУБД); error propagation model; reliability; safety; dependability; model-based systems; model-based analysis; control flow; data flow; optimization Organization: Ufa University of Science and Technology Allowed Actions: View |
Annotation
Model-Based System Engineering (MBSE) is a popular mathematical and visual approach to the design of complex control, signal processing, and communication systems. It is used in safety critical industrial domains including aerospace, automotive, transportation, medical and robotics applications. Our group develops methods and tools for model-based system reliability and safety analysis with the main focuses on stochastic modelling of error propagation processes. This article is devoted to the optimisation and extensions to our analytical toolset. We have investigated the key modeling paradigms, requirements and industrial needs and have formulated the list of particular extensions.
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