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This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel.
The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied
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Produktbeschreibung
This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel.

The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques.

  • Maximizes student understanding of MBSE with a realistic and feasible approach without excessive treatment of modeling theory;
  • Emphasizes system architecture and engineering, including hardware, software, controlled equipment, networking, and other system elements, in contrast to the many existing books that focus largely or entirely on software;
  • Reinforces concepts with end of chapter problems;
  • Demonstrates how to model and manage both functional requirements and non-functional requirements that define overarching system characteristics such as openness, security, affordability, and ease of use;
  • Provides a comprehensive introduction to all important areas of modern Systems Engineering practice, including the Model-Based System Architecture Process (MBSAP), Service-Oriented Architecture (SOA), real-time systems, cybersecurity, and networked enterprises;
  • Illustrates every aspect of the methodology with detailed system examples.



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Autorenporträt
Dr. John M. "Mike" Borky is Professor of Systems Engineering at Colorado State University. He has nearly 50 years experience in Aerospace and Defense, including research, system and technology development, and operations. An expert in systems architecture and engineering with emphasis on information- and software-intensive systems and enterprises, he is the developer of the Model-Based System Architecture Process (MBSAP) and has applied Model-Based System Engineering (MBSE) using this methodology to a wide range of systems. He recently completed five years as a Visiting Professor of Aerospace Engineering at UCLA, where he developed and taught the core course on System Architecture in the online Master of Science in System Engineering program.
Dr. Thomas H. Bradley is Associate Professor of Mechanical Engineering & Systems at Colorado State University. He is associated with the Systems and Robotics, Motorsports Engineering and Engines and Energy Conversion Laboratories at CSU. Primary research interests include design of automotive, aerospace and energy systems, integrated controls and design optimization, and the validation of engineering design methods.