Abstract
With increasing connectivity and digitalization, systems continue to become increasingly more complex. To meet this challenge, the model-based systems engineering community has begun exploring the use of ontologies to scope the modeling effort and demonstrate the value of MBSE without resorting to full-blown modeling. To this end, this paper presents a minimum viable model (MVM) approach to system modeling. In the MVM approach, a system model with the requisite structure and just enough semantics is created to resolve semantic inconsistencies in the model, achieve interoperability, and answer a few key questions at the right level of detail posed by stakeholders from the systems acquisition and engineering communities. The larger intent is to have potential customers buy into the viability of an ontology-enabled approach to MBSE.
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Acknowledgments
The author acknowledges productive discussions on ontologies and MBSE with Michael Sievers of the University of Southern California and helpful feedback of Carla Madni of Intelligent Systems Technology, Inc., who reviewed the final draft. I also want to acknowledge Shatad Purohit of the University of Southern California who reviewed earlier drafts of this paper.
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Madni, A.M. (2022). Minimum Viable Model to Demonstrate Value Proposition of Ontologies for Model-Based Systems Engineering. In: Madni, A.M., Boehm, B., Erwin, D., Moghaddam, M., Sievers, M., Wheaton, M. (eds) Recent Trends and Advances in Model Based Systems Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-82083-1_14
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DOI: https://doi.org/10.1007/978-3-030-82083-1_14
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