Well-structured and interdisciplinary overview of MBSE, covering both theoretical foundations and practical applications
Taking an interdisciplinary approach, Model-Based System Engineering provides a comprehensive introduction to understanding and applying model-based system engineering (MBSE) principles and practices in the design, development, and management of complex systems. Throughout the book, readers will find case studies, practical examples and exercises, and multiple-choice questions that reinforce key concepts and promote active learning.
The book begins by exploring the historical context of MBSE, highlighting its emergence as a response to the limitations of traditional document-centric approaches. It emphasizes the crucial role of abstraction in MBSE and introduces key concepts, definitions, and taxonomies that form the bedrock of this discipline. Subsequent chapters delve into the core principles of modeling, examining the intricate relationships between systems, languages, and models.
Sample topics covered in Model-Based System Engineering include:
Prefaced by Bran Selic, a world authority on MBSE and software engineering Model verification and validation, exploring various techniques, such as model checking, simulation, and testing that enable the early detection and resolution of design errors and inconsistencies Model-based system architecting, methodological considerations, and application in real-world contexts Various modeling paradigms, including structural and behavioral models The pivotal role of languages in enabling effective modeling practices Benefits of formalization in enhancing the precision, consistency, and analyzability of system models
Model Based System Engineering is an essential resource for systems engineers, researchers, and students seeking to understand and harness the power of MBSE in tackling the complexities of modern systems.
