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Model-Based System Architecting and Decision-Making
We explore the application of MBSE for conceptual system architecting. Choosing an architecture is a fundamental activity. Our Model-Based System Architecting (MBSA) framework facilitates the specification of an architecture as a reasoning process – a series of conceptualization and decision-making activities, backed-up by an MBSE environment. Our framework captures both the ontology of a stakeholder-driven and solution-oriented system architecture, and the process of growing the architecture as a series of conceptualization steps through five ontological domains: the stakeholder domain, the solution-neutral environment, the solution-specific environment, the integrated concept, and the concept of operations. Our MBSA approach shifts the modeling focus from recording to conceptualizing, exploring, decision-making, and innovating. In comparison to an “offline” architecting process, our approach may initially require a bigger effort but should enable stronger stakeholder engagement, clearer architectural decision point framing, quicker exploration, better long-term viability, and increased model robustness.
Model-Based System Architecting and Decision-Making
We explore the application of MBSE for conceptual system architecting. Choosing an architecture is a fundamental activity. Our Model-Based System Architecting (MBSA) framework facilitates the specification of an architecture as a reasoning process – a series of conceptualization and decision-making activities, backed-up by an MBSE environment. Our framework captures both the ontology of a stakeholder-driven and solution-oriented system architecture, and the process of growing the architecture as a series of conceptualization steps through five ontological domains: the stakeholder domain, the solution-neutral environment, the solution-specific environment, the integrated concept, and the concept of operations. Our MBSA approach shifts the modeling focus from recording to conceptualizing, exploring, decision-making, and innovating. In comparison to an “offline” architecting process, our approach may initially require a bigger effort but should enable stronger stakeholder engagement, clearer architectural decision point framing, quicker exploration, better long-term viability, and increased model robustness.
Model-Based System Architecting and Decision-Making
Madni, Azad M. (Herausgeber:in) / Augustine, Norman (Herausgeber:in) / Sievers, Michael (Herausgeber:in) / Menshenin, Yaroslav (Autor:in) / Mordecai, Yaniv (Autor:in) / Crawley, Edward F. (Autor:in) / Cameron, Bruce G. (Autor:in) / Sievers, Michael W. / Estefan, Jeff
Handbook of Model-Based Systems Engineering ; Kapitel: 17 ; 289-330
08.07.2023
42 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Model-Based System Architecting , Model-Based Systems Engineering , Architectural Decision-Making , Object-Process Methodology , Concept Representation Engineering , Control and Systems Theory , Simulation and Modeling , Models and Principles , Operations Management , Quality Control, Reliability, Safety and Risk , Cyber-physical systems, IoT
Taylor & Francis Verlag | 2022
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