May 1, 2024
3 minute read
Model-Based Enterprise, in the context of systems engineering, emphasizes the creation and utilization of digital models throughout the entire lifecycle of a system, from inception and design through development, deployment, and sustenance. These models serve as the central artifacts for capturing, representing, and communicating system requirements, design, and behavior. The goal is to enable effective collaboration, decision-making, and verification and validation, thereby improving the quality, efficiency, and agility of systems engineering processes.
Benefits of Model-Based Enterprise
Adopting a Model-Based Enterprise approach offers numerous benefits, including:
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Find a path to becoming a Model-Based Enterprise. Learn more at:
OpenCourser.com/topic/jlqvnk/model
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Model-Based Enterprise.
Practical guide to MBSE. It provides step-by-step instructions on how to develop and use models in the systems engineering process.
Provides a comprehensive overview of model-based systems engineering (MBSE) and its benefits, including how to create and use digital models throughout the system lifecycle.
Is an introduction to formal methods in software engineering. Formal methods are a set of mathematical techniques for specifying and verifying software systems.
Provides a comprehensive overview of MBSE, with a focus on the use of models to represent and analyze enterprise systems.
Examines the principles and practices of model-driven software engineering (MDSE) within the context of MBSE, focusing on the use of models as the primary artifacts for software development.
Provides a general overview of MBE, with a focus on complex systems engineering. It covers the challenges and benefits of MBE, as well as how to apply MBE to real-world projects.
Explores the use of MBE in the development of autonomous systems. It covers the different types of models used to represent autonomous systems, as well as how to use these models to simulate and analyze the behavior of autonomous systems.
Provides a practical guide to Model-Driven Software Engineering (MDSE). It covers the different types of MDSE, as well as how to apply MDSE to real-world projects.
Provides a comprehensive overview of requirements engineering, including its principles, practices, and techniques, which are essential for MBSE.
Covers the principles and practices of verification and validation (V&V) in systems engineering, which are crucial for ensuring the quality and reliability of MBSE models.
Covers the use of SysML for architecting systems, providing a practical guide for engineers and systems architects.
Provides a practical guide to model-based testing (MBT) in the context of MBSE, focusing on the use of MBT testing tools.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/jlqvnk/model
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