Abstract
As systems continue to grow in scale and complexity, the Systems Engineering (SE) community has turned to the Model-Based Systems Engineering (MBSE) paradigm for managing complexity, maintaining consistency, and assuring traceability during system development. We distinguish MBSE, which is a holistic process comprising system specification, design, validation, and configuration management, from engineering with models, which has been a common practice for centuries. Even though MBSE is beginning to see a fair amount of use in a number of industries, several advances are needed on a number of fronts to realize its full benefits. The paper discusses the motivation for MBSE, models and meta-models, modeling languages, the role of modeling and simulation in SE, and the current state of maturity of MBSE. The paper concludes with a discussion of needed advances to realize the potential benefits of MBSE.
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Madni, A.M., Sievers, M. (2018). Model-Based Systems Engineering: Motivation, Current Status, and Needed Advances. In: Madni, A., Boehm, B., Ghanem, R., Erwin, D., Wheaton, M. (eds) Disciplinary Convergence in Systems Engineering Research. Springer, Cham. https://doi.org/10.1007/978-3-319-62217-0_22
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DOI: https://doi.org/10.1007/978-3-319-62217-0_22
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