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Modeling and Simulation-based Systems Engineering Handbook
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Modeling and Simulation (M&S) is increasingly becoming a central activity in the development of new systems and in the analysis of existing systems because it enables designers and researchers to manage systems complexity and investigate systems behavior through virtual representations. For this reason, Systems Engineering activities are often based on M&S methodologies and technologies. Successful examples are available in many domains, including space, critical infrastructures, manufacturing, emergency management, biomedical systems, and sustainable future. The engineering of modern complex systems introduces new M&S needs, which in turn affect the entire M&S-based Systems Engineering process. These news needs often pose new challenges that M&S researchers, practitioners and domain engineers must address to support M&S-based Systems Engineering. The new needs can concern a wide variety of issues, including effort reduction, risk minimization, optimization of computational workloads, or simply formalization of engineering issues. Consequently, new challenges arise in several areas, including Domain Specific Languages, Model Repositories, Model-driven Systems Engineering, Collaborative Environments, Simulation Algorithms and Performance Engineering, Simulation Software Architectures, Engineering Processes, Verification Validation & Accreditation, System Modeling, Enterprise Architecture, and Advanced Concepts.
Often, M&S solutions are introduced within individual communities to address the new needs, though these needs are often shared by several communities. Consequently, advancements and knowledge are seldom capitalized across the wider scientific and industrial communities, often leading to reinventing "M&S solutions to engineering the wheel". With the objective of fostering the cross-fertilization of M&S methods and technologies, the M&S-based Systems Engineering Handbook represents an initial attempt to collect and disseminate reusable lessons that have been developed and applied in support of Systems Engineering activities of several research and industrial domains.
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