Read more
Informationen zum Autor Ali Koudri is a seasoned systems and software engineering expert with over 20 years of experience in designing and developing innovative solutions for complex systems. His extensive background spans diverse domains, including aeronautics, rail, defense, and healthcare, where he has consistently demonstrated his ability to tackle ambitious projects that require out-of-the-box thinking. Ali has held key roles in prominent organizations such as Thales Research and Technology and the Institute for Technological Research SystemX. Klappentext 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. Inhaltsverzeichnis Preface ix Foreword xi Acronyms xiii Introduction xv 1 The Start of the Journey 1 1.1 A Difficult Start 1 1.2 The Power of Abstraction 2 1.3 The Rise of MBSE 6 1.4 The Pillars of MBSE 9 1.5 The Ingredients of MBSE 12 1.6 Comparison with a Traditional Approach 14 1.7 Some Success Stories 16 1.8 Key Takeaways and Considerations 17 References 20 2 System Engineering Principles 23 2.1 Preliminary Definitions 23 2.2 System Definitions and Taxonomy 24 2.3 Systems of Systems 28 2.4 Ensuring System Consistency 31 2.5 Managing System Complexity 33 2.6 System Lifecycle 35 2.7 Historical Perspective 37 2.8 For a System Thinking 39 2.9 System Engineering Definition 42 2.10 System Engineering Issues 43 2.11 The Role of a Systems Engineer 45 2.12 Relationship with Requirements Engineering 49 2.13 Key Considerations in SE 53 2.14 Transitioning to MBSE 63 2.15 Conclusion 64 References 67 3 Modeling Principles 73 3.1 Systems, Languages, and Models 73 3.2 Models 79 3.3 Languages 86 3.4 Formalization Principles 90 3.5 The Power of Modeling 94 3.6 Models and Semantics 97 3.7 The Different Types of Model 99 3.8 Models a...
