Systems engineering (SE) is experiencing a significant expansion that encompasses increasingly complex systems. However, a common body of knowledge on how to apply complex systems engineering (CSE) has yet to be developed. A combination of people and other autonomous agents, crossing organization boundaries and continually changing, these hybrid systems are less predictable while being more self-organizing and adaptive than traditional systems. The growing pains of this evolution and the ever-widening reach of SE technology require an effective foundation for integrating traditional and complex engineering methods, addressing machine and human interaction, as well as scaling up and down, from nano scale to the macro system-of-systems level.
Model-oriented Systems Engineering Science: A Unifying Framework for Traditional and Complex Systems addresses solutions to that expansion and integration problem. This text takes advantage of better-understood systems science (SS) to support the transition, identifying and using commonalities between complex systems and other sciences, such as biology, sociology, cognitive science, organizational theory, and computational science. The author defines Model-oriented Systems Engineering Science (MOSES), an organized system that selects appropriate information from these disciplines and unifies it into a coherent framework. The result is a seamless approach to the class of systems across the extended scope of the new SE―a foundation upon which to develop an enhanced and unified SE.
Modeling orientation (MO) provides a common perspective on the entire SES/SE enterprise, including all supporting sciences, engineering for the full range of traditional, complex, and hybrid systems, and their management. This book extends existing modeling approaches into an MO that views all science artifacts and engineering artifacts as models of systems. It organizes them into a virtual structured repository called the "SE model space"―effectively a container for the accumulating body of SE and SES knowledge in the form of models and patterns. By organizing and integrating all these elements into a common framework, the author makes the material not only easily accessible but also immediately applicable, and provides a well-grounded basis for future growth and evolution of the SE discipline.
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Duane Hybertsonis a researcher and member of the technical staff in the Information and Computing Technology division at the MITRE Corporation in McLean, Virginia. He has a broad background in software and systems engineering, both research and practice. He has conducted research in the foundations of architecture, and has published papers on a uniform modeling approach to architecture and software engineering. He has supported enterprise architecture development and defined systems engineering approaches for large systems for several civilian, defense, and intelligence agencies of the U.S. government. He has also conducted research on capturing security patterns and determining how to integrate these patterns into a usable enterprise engineering context. The outcome of this research was a book on security patterns that he co-authored and co-edited. His recent research has been in strengthening the foundation of systems engineering with increased visibility of systems science, and in extending and applying principles of systems engineering to complex systems such as organizations and other systems that include people.
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