{"product_id":"model-based-systems-engineering-theoretical-foundations-hardback-9781394345076","title":"Model Based Systems Engineering; Theoretical Foundations (Hardback) 9781394345076","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eModel Based Systems Engineering\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eTheoretical Foundations\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAli Koudri (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394345076, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 27 October 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e352 pages\u003cbr\u003e23.1 x 15.8 x 2.8 cm, 0.567 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eWell-structured and interdisciplinary overview of MBSE, covering both theoretical foundations and practical applications\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eTaking an interdisciplinary approach, \u003ci\u003eModel Based System Engineering\u003c\/i\u003e 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.  \u003c\/p\u003e\n\u003cp\u003eThe 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. \u003c\/p\u003e\n\u003cp\u003eSample topics covered in \u003ci\u003eModel Based System Engineering\u003c\/i\u003e include: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e Prefaced by Bran Selic, a world authority on MBSE and software engineering\u003c\/li\u003e\n\u003cli\u003e 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\u003c\/li\u003e\n\u003cli\u003e Model-based system architecting, methodological considerations, and application in real-world contexts\u003c\/li\u003e\n\u003cli\u003e Various modeling paradigms, including structural and behavioral models\u003c\/li\u003e\n\u003cli\u003e The pivotal role of languages in enabling effective modeling practices\u003c\/li\u003e\n\u003cli\u003e Benefits of formalization in enhancing the precision, consistency, and analyzability of system models\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eModel Based System Engineering\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eForeword xi\u003c\/p\u003e \u003cp\u003eAcronyms xiii\u003c\/p\u003e \u003cp\u003eIntroduction xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 The Start of the Journey 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 A Difficult Start 1\u003c\/p\u003e \u003cp\u003e1.2 The Power of Abstraction 2\u003c\/p\u003e \u003cp\u003e1.3 The Rise of MBSE 6\u003c\/p\u003e \u003cp\u003e1.4 The Pillars of MBSE 9\u003c\/p\u003e \u003cp\u003e1.5 The Ingredients of MBSE 12\u003c\/p\u003e \u003cp\u003e1.6 Comparison with a Traditional Approach 14\u003c\/p\u003e \u003cp\u003e1.7 Some Success Stories 16\u003c\/p\u003e \u003cp\u003e1.8 Key Takeaways and Considerations 17\u003c\/p\u003e \u003cp\u003eReferences 20\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 System Engineering Principles 23\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Preliminary Definitions 23\u003c\/p\u003e \u003cp\u003e2.2 System Definitions and Taxonomy 24\u003c\/p\u003e \u003cp\u003e2.3 Systems of Systems 28\u003c\/p\u003e \u003cp\u003e2.4 Ensuring System Consistency 31\u003c\/p\u003e \u003cp\u003e2.5 Managing System Complexity 33\u003c\/p\u003e \u003cp\u003e2.6 System Lifecycle 35\u003c\/p\u003e \u003cp\u003e2.7 Historical Perspective 37\u003c\/p\u003e \u003cp\u003e2.8 For a System Thinking 39\u003c\/p\u003e \u003cp\u003e2.9 System Engineering Definition 42\u003c\/p\u003e \u003cp\u003e2.10 System Engineering Issues 43\u003c\/p\u003e \u003cp\u003e2.11 The Role of a Systems Engineer 45\u003c\/p\u003e \u003cp\u003e2.12 Relationship with Requirements Engineering 49\u003c\/p\u003e \u003cp\u003e2.13 Key Considerations in SE 53\u003c\/p\u003e \u003cp\u003e2.14 Transitioning to MBSE 63\u003c\/p\u003e \u003cp\u003e2.15 Conclusion 64\u003c\/p\u003e \u003cp\u003eReferences 67\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Modeling Principles 73\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Systems, Languages, and Models 73\u003c\/p\u003e \u003cp\u003e3.2 Models 79\u003c\/p\u003e \u003cp\u003e3.3 Languages 86\u003c\/p\u003e \u003cp\u003e3.4 Formalization Principles 90\u003c\/p\u003e \u003cp\u003e3.5 The Power of Modeling 94\u003c\/p\u003e \u003cp\u003e3.6 Models and Semantics 97\u003c\/p\u003e \u003cp\u003e3.7 The Different Types of Model 99\u003c\/p\u003e \u003cp\u003e3.8 Models and Diagrams 102\u003c\/p\u003e \u003cp\u003e3.9 System and Viewpoints 105\u003c\/p\u003e \u003cp\u003e3.10 Interface Design and Management 109\u003c\/p\u003e \u003cp\u003e3.11 Modeling Standards and Tools 115\u003c\/p\u003e \u003cp\u003e3.12 Modeling Requirements 118\u003c\/p\u003e \u003cp\u003e3.13 Conclusion 120\u003c\/p\u003e \u003cp\u003eReferences 123\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Modeling Paradigms 127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Structural Models 127\u003c\/p\u003e \u003cp\u003e4.2 Behavioral Models 137\u003c\/p\u003e \u003cp\u003e4.3 Agent-based Modeling 161\u003c\/p\u003e \u003cp\u003e4.4 Beyond Structure and Behavior 166\u003c\/p\u003e \u003cp\u003e4.5 Modeling the System Environment 171\u003c\/p\u003e \u003cp\u003e4.6 Conclusion 175\u003c\/p\u003e \u003cp\u003eReferences 178\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Model Verification and Validation 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Verification 183\u003c\/p\u003e \u003cp\u003e5.2 Validation 188\u003c\/p\u003e \u003cp\u003e5.3 The Evolution of V\u0026amp;V 193\u003c\/p\u003e \u003cp\u003e5.4 V\u0026amp;V Concerns 197\u003c\/p\u003e \u003cp\u003e5.5 Theoretical Bases 200\u003c\/p\u003e \u003cp\u003e5.6 Motivations for V\u0026amp;V Models 203\u003c\/p\u003e \u003cp\u003e5.7 Techniques of V\u0026amp;V in MBSE 205\u003c\/p\u003e \u003cp\u003e5.8 Standards and Good Practices 212\u003c\/p\u003e \u003cp\u003e5.9 Closing Design Space Exploration 215\u003c\/p\u003e \u003cp\u003e5.10 Reducing Costs and Delays 216\u003c\/p\u003e \u003cp\u003e5.11 Conclusion 219\u003c\/p\u003e \u003cp\u003eReferences 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 System Architecting Principles 225\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Fundamental Principles 225\u003c\/p\u003e \u003cp\u003e6.2 Types of System Architectures 228\u003c\/p\u003e \u003cp\u003e6.3 Open Architectures 235\u003c\/p\u003e \u003cp\u003e6.4 Architectural Patterns and Tactics 239\u003c\/p\u003e \u003cp\u003e6.5 Evaluating and Updating System Architectures 241\u003c\/p\u003e \u003cp\u003e6.6 Linking MBSE to Architectural Concerns 245\u003c\/p\u003e \u003cp\u003e6.7 Conclusion 251\u003c\/p\u003e \u003cp\u003eReferences 253\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Methodological Bases 257\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Preliminary Considerations 257\u003c\/p\u003e \u003cp\u003e7.2 Methodological Foundations 262\u003c\/p\u003e \u003cp\u003e7.3 Formalizing Processes 267\u003c\/p\u003e \u003cp\u003e7.4 Modeling Processes 270\u003c\/p\u003e \u003cp\u003e7.5 Process Orchestration 272\u003c\/p\u003e \u003cp\u003e7.6 Model Transformations 274\u003c\/p\u003e \u003cp\u003e7.7 MBSE and Project Management 279\u003c\/p\u003e \u003cp\u003e7.8 Evaluating the Effectiveness of MBSE 282\u003c\/p\u003e \u003cp\u003e7.9 MBSE Adoption: Challenges and Limitations 285\u003c\/p\u003e \u003cp\u003e7.10 A Software Development Process Example 291\u003c\/p\u003e \u003cp\u003e7.11 Conclusion 295\u003c\/p\u003e \u003cp\u003eReferences 297\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Case Study 301\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Overview 301\u003c\/p\u003e \u003cp\u003e8.2 Project Overview and Motivation 302\u003c\/p\u003e \u003cp\u003e8.3 Blending “Meet-in-the-middle” and AI 304\u003c\/p\u003e \u003cp\u003e8.4 The Arcadia Methodology 305\u003c\/p\u003e \u003cp\u003e8.5 AI-powered Scenario Management 307\u003c\/p\u003e \u003cp\u003e8.6 Formal Checking and Simulations 311\u003c\/p\u003e \u003cp\u003e8.7 Decision-making and Optimization 314\u003c\/p\u003e \u003cp\u003e8.8 Evaluation and the Path Forward 317\u003c\/p\u003e \u003cp\u003e8.9 Conclusion 319\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Conclusion 321\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIndex 323\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" 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