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The complexity of aerospace systems requirements, analysis, design, and architecture puts these systems among those that can benefit the most from a Model-Based Systems Engineering approach. However, though there has been progress in connecting domain-based model specifications and simulation experiments, there is still a gap between Model-Based Systems Engineering and the implementation and use of tools and metrics for modeling and analysis of complex aerospace systems. Here, we build upon our prior System-of-System research to illustrate how a System-of-Systems Analytic Work Bench can be used in combination with Model-Based Systems Engineering to enhance the analysis and design of systems architectures. The Analytic Work Bench is a suite of tools for analysis of the behavior of complex systems and for comparison and evaluation of systems architectures. The tools in the Analytic Work Bench adopt a representation of Systems-of-Systems architecture as a network of interdependent systems, which lends itself to connection with various Model-Based Systems Engineering representations, for example, Functional Block Diagrams and SysML activity and parametric diagrams. For each method in the Analytic Work Bench we illustrate appropriate linking to Model-Based Systems Engineering representations, explaining how the methods can acquire part of the required information for their models from traditional Model-Based Systems Engineering methodology. We then show how results from the tools in the Analytic Work Bench enhance Model-Based Systems Engineering with quantitative analysis of complex systems and architectures, including evaluation of performance, criticalities, robustness, resilience, and evolution of the systems at various levels of abstraction.
Guariniello et al. (Thu,) studied this question.