Reasoning and Decision Making in Model-System Architectingחינם לחברי האיגוד

Abstract: This lecture presents a Model-Based System Architecting (MBSA) framework that has recently been published as a chapter in the Handbook of Model-Based Systems Engineering.

The 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. The 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 mission domain, the capability domain, the tradespace, and the solution architecture. 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. We show how the framework was applied for modeling and analysis of a mission architecture. We will discuss the implementation of the framework using both Object Process Methodology (OPM) and the Systems Modeling Language (SysML). We will also discuss the suitability of this framework for functional analysis in accordance with the FAST methodology.

Three main references that this lecture relies on, in addition to several others, are:

1. Mordecai, Y., & Crawley, E. F. (2021) Towards Context-Awareness in Model-Based Requirements Engineering. IEEE International Systems Conference, http://systemarchitect.mit.edu/docs/mordecai21c.pdf
2. Mordecai, Y., Markina-Khusid, A., Quinn, G., & Crawley, E. F.(2022) Applying Model-Based Ontology Coverage Analysis to Mission Architectures. IEEE Aerospace Conference 2022, Big Sky, MT, USA, http://systemarchitect.mit.edu/docs/mordecai22a.pdf
3. Menshenin Y., Mordecai Y., Crawley E.F., Cameron B.G. (2022) Model-Based System Architecting and Decision-Making. In: Madni A.M., Augustine N., Sievers M. (eds) Handbook of Model-Based Systems Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-27486-3_17-1

המועד: 6 באפריל 2022 – בשעות 16:00-19:00

(שימו לב לשינוי השעה מאחר והמרצה גר בסיאטל, ארה"ב)