Systems Engineering for the Digital Age

Systems Engineering for the Digital Age

by Dinesh C. Verma
Released October 2023
Publisher(s): Wiley
ISBN: 9781394203284

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Book description

Systems Engineering for the Digital Age

Comprehensive resource presenting methods, processes, and tools relating to the digital and model-based transformation from both technical and management views

Systems Engineering for the Digital Age: Practitioner Perspectives covers methods and tools that are made possible by the latest developments in computational modeling, descriptive modeling languages, semantic web technologies, and describes how they can be integrated into existing systems engineering practice, how best to manage their use, and how to help train and educate systems engineers of today and the future. This book explains how digital models can be leveraged for enhancing engineering trades, systems risk and maturity, and the design of safe, secure, and resilient systems, providing an update on the methods, processes, and tools to synthesize, analyze, and make decisions in management, mission engineering, and system of systems.

Composed of nine chapters, the book covers digital and model-based methods, digital engineering, agile systems engineering, improving system risk, and more, representing the latest insights from research in topics related to systems engineering for complicated and complex systems and system-of-systems. Based on validated research conducted via the Systems Engineering Research Center (SERC), this book provides the reader a set of pragmatic concepts, methods, models, methodologies, and tools to aid the development of digital engineering capability within their organization.

Systems Engineering for the Digital Age: Practitioner Perspectives includes information on:

  • Fundamentals of digital engineering, graphical concept of operations, and mission and systems engineering methods
  • Transforming systems engineering through integrating M&S and digital thread, and interactive model centric systems engineering
  • The OODA loop of value creation, digital engineering measures, and model and data verification and validation
  • Digital engineering testbed, transformation, and implications on decision making processes, and architecting tradespace analysis in a digital engineering environment
  • Expedited systems engineering for rapid capability and learning, and agile systems engineering framework

Based on results and insights from a research center and providing highly comprehensive coverage of the subject, Systems Engineering for the Digital Age: Practitioner Perspectives is written specifically for practicing engineers, program managers, and enterprise leadership, along with graduate students in related programs of study.

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright Page
  5. List of Contributors
  6. Preface
  7. Acknowledgment
  8. Acronyms
  9. About the Companion Website
  10. Part I: Transforming Engineering Through Digital and Model-Based Methods
    1. Chapter 1: Fundamentals of Digital Engineering
      1. Background
      2. Problem
      3. New Approach
      4. Results
      5. Interoperability and Integration Framework (IoIF)
      6. Related Chapters
      7. Future Work
      8. References
      9. Biographical Sketches
    2. Chapter 2: Mission and Systems Engineering Methods
      1. Problem
      2. Background
      3. New Approach
      4. Results
      5. Future Work
      6. References
      7. Biographical Sketches
    3. Chapter 3: Transforming Systems Engineering Through Integrating Modeling and Simulation and the Digital Thread
      1. Introduction
      2. Integration Methodology
      3. Discussion
      4. Conclusion
      5. References
      6. Biographical Sketches
    4. Chapter 4: Digital Engineering Visualization Technologies and Techniques
      1. Problem
      2. Background
      3. New Approach
      4. Results
      5. Future Work
      6. References
      7. Biographical Sketches
    5. Chapter 5: Interactive Model‐Centric Systems Engineering
      1. Introduction
      2. Selected Highlights of IMCSE Research
      3. Summary
      4. References
      5. Biographical Sketches
  11. Part II: Executing Digital Engineering
    1. Chapter 6: Systems Engineering Transformation Through Digital Engineering
      1. Systems Engineering Transformation
      2. Systems Engineering Gap Analysis
      3. Transformation Through Digital Engineering
      4. Epilogue
      5. References
      6. Biographical Sketches
    2. Chapter 7: Measuring Systems Engineering Progress Using Digital Engineering
      1. Motivation
      2. The Benefits of DE
      3. Realizing the Benefits
      4. Measuring DE Activities
      5. Causal Analysis of DE/MBSE Benefits and Adoption Approaches
      6. Linking to Systems Engineering Metrics
      7. Summary
      8. References
      9. Biographical Sketches
    3. Chapter 8: Digital Engineering Implications on Decision‐Making Processes
      1. Introduction
      2. Define Problem
      3. Relevant Background
      4. New Approaches to Decision Process
      5. Augmenting the Decision Process with Digital Technology
      6. Future Work
      7. Acknowledgements
      8. References
      9. Biographical Sketches
    4. Chapter 9: Expedited Systems Engineering for Rapid Capability
      1. Introduction
      2. Methodology
      3. Findings/Analysis
      4. Conclusions and Future Research
      5. References
      6. Biographical Sketches
    5. Chapter 10: Scaling Agile Principles to an Enterprise
      1. Introduction
      2. The Challenge
      3. Why Agile and Dev*Ops?
      4. Scaling Agile
      5. Recommendations
      6. Conclusion
      7. Acknowledgments
      8. References
      9. Biographical Sketches
    6. Chapter 11: System Behavior Specification Verification and Validation (V&V)
      1. Introduction
      2. Background
      3. Monterey Phoenix
      4. Emergent Behavior Analysis
      5. Search and Rescue Examples
      6. Conclusions
      7. References
      8. Biographical Sketches
    7. Chapter 12: Digital Engineering Transformation
      1. Case Study of Digital Engineering from Scratch: a DoD and JPEO Journey
      2. State‐of‐the‐Art in Digital Transformation and “Clash with Reality”
      3. Digital Engineering Transformation and Directives (DE for AM)
      4. Lessons Learned: How to Evaluate Digital Transformation
      5. The Path Forward
      6. Acknowledgments
      7. References
      8. Biographical Sketches
  12. Part III: Tradespace Analysis in a Digital Engineering Ecosystem – Context and Implications
    1. Chapter 13: A Landscape of Trades
      1. Levels of Trades
      2. System Qualities: The Nonfunctional Requirements
      3. Mission and Operational Trades in Context
      4. Future Systems: New Methods of Design, Evaluation, and Relation to Trades
      5. Discussion and Conclusion
      6. References
      7. Biographical Sketches
    2. Chapter 14: Architecting a Tradespace Analysis Framework in a Digital Engineering Environment
      1. Introduction
      2. The Hierarchy of Meaning
      3. Elements of a Digital Engineering Tradespace Analysis Framework
      4. Considerations in the Design
      5. Analytical Workflow with DETAF
      6. Lesson Learned
      7. Key Takeaways
      8. References
      9. Biographical Sketches
    3. Chapter 15: Set‐Based Design
      1. What Is Set‐Based Design?
      2. The Set‐Based Design Difference
      3. When to Use Set‐Based Design
      4. Knowledge Development
      5. Design Alternative Analysis Methods and Metrics
      6. Conclusion and Discussion
      7. References
      8. Biographical Sketches
    4. Chapter 16: Exploiting Formal Modeling in Resilient System Design
      1. Introduction
      2. Problem Statement and Enabling Methods
      3. State‐of‐the‐Practice
      4. Best Practice Approach
      5. Illustrative Example
      6. Chapter Summary
      7. References
      8. Biographical Sketches
    5. Chapter 17: Augmented Intelligence
      1. Introduction
      2. Separating Misperceptions of AI from Actual Pros and Cons
      3. Exemplar Uses of AugI
      4. Augmented Intelligence in Systems Engineering
      5. Augmented Intelligence in Operational Decision‐Making
      6. Augmented Intelligence in System Development and System Operation
      7. Concluding Remarks
      8. References
      9. Biographical Sketches
  13. Part IV: Evaluating and Improving System Risk
    1. Chapter 18: Complexity and Risk in Systems Engineering
      1. Prelude
      2. Complexity
      3. Complexity and Risk
      4. Complexity Assessment and Modeling in SE
      5. References
    2. Chapter 19: Technical Debt in the Engineering of Complex Systems
      1. Introduction
      2. Conclusion
      3. References
      4. Biographical Sketches
    3. Chapter 20: Risk and System Maturity
      1. System Maturity
      2. Maturity and Metrics
      3. System Maturity Metrics
      4. System Maturity Assessment
      5. Systems Architecture and SRL
      6. References
      7. Biographical Sketches
      8. Appendix A
    4. Chapter 21: Managing Risk
      1. Introduction
      2. Agile‐Based Risk
      3. Managing Risk
      4. Summary
      5. References
      6. Biographical Sketches
  14. Part V: Model-Based Design of Safety, Security, and Resilience Systems
    1. Chapter 22: Concepts of Trust and Resilience in Cyber-Physical Systems
      1. Trust and Resilience in Cyber‐Physical Systems
      2. References
      3. Biographical Sketches
    2. Chapter 23: Introduction to STPA‐Sec
      1. System Theoretic Process Analysis for Security (STPA‐Sec)
      2. Possible Future Directions and Existing Extensions
      3. References
      4. Biographical Sketches
    3. Chapter 24: The “Mission Aware” Concept for Design of Cyber‐Resilience
      1. Mission Aware Concept for Cyber Resilience
      2. References
      3. Biographical Sketches
    4. Chapter 25: The “FOREST” Concept and Meta‐Model for Lifecycle Evaluation of Resilience
      1. The Framework for Operational Resilience in Engineering and System Test (FOREST)
      2. Summary
      3. References
      4. Biographical Sketches
    5. Chapter 26: The Cyber Security Requirements Methodology and Meta‐Model for Design of Cyber‐Resilience
      1. Introduction and Background
      2. References
      3. Biographical Sketches
    6. Chapter 27: Implementation Example
      1. Implementation Example: Silverfish
      2. Conclusion
      3. References
      4. Biographical Sketches
  15. Part VI: Analytic Methods for Design and Analysis of Missions and Systems-of-Systems
    1. Chapter 28: Unique Challenges in System of Systems Analysis, Architecting, and Engineering
      1. What Are “Systems of Systems” and What Makes Them Different from Other Systems?
      2. Why Should We Care? Because SoS Are Increasingly Ubiquitous
      3. What Are the Implications of SoS Characteristics on SoS Analysis and Architecting?
      4. Management and Oversight
      5. Operational Focus and Goals
      6. Implementation
      7. Engineering and Design Considerations
      8. What Does This Mean in Terms of Persistent SoS Challenges?
      9. How Are SoS Challenged by Complexity?
      10. Mission Engineering Illustrates SoS Challenges
      11. What Can We Conclude About the Unique Challenges…?
      12. References
      13. Biographical Sketches
    2. Chapter 29: System of Systems Analytic Workbench
      1. Genesis and Description of the Analytic Workbench
      2. SERC and DoD Needs
      3. Story of Success: How We Helped Users and Learned from Users
      4. Further Applications of the Analytic Workbench
      5. Continuous Development
      6. Conclusions
      7. References
      8. Biographical Sketches
    3. Chapter 30: Computational Intelligence Approach to SoS Architecting and Analysis
      1. Introduction to SoS Architecting and Analysis
      2. System of System Challenges
      3. Overview of the FILA‐SoS Model Approach
      4. Meta‐Architecture Generation
      5. Membership Functions
      6. Nonlinear Trades in Multiple Objectives of SoS
      7. Combining SoS Attribute Values into an Overall SoS Measure
      8. Exploring the SoS Architecture Space with Genetic Algorithms Combining the Fuzzy Approach with the GA Approach
      9. Combining the Fuzzy Approach with the GA Approach
      10. Use Cases and Applications
      11. Healthcare Use Case Introduction
      12. Methodology
      13. Results
      14. Conclusion and Future Work
      15. A Use Case of FILA‐SoS in Cybersecurity
      16. More Use Cases in Published Papers and Resources of Meta‐Architecting
      17. References
      18. Biographical Sketches
    4. Chapter 31: Unique Challenges in Mission Engineering and Technology Integration
      1. Introduction
      2. Mission Engineering and Technology Integration
      3. The Challenge
      4. Recommendations
      5. Conclusion
      6. References
      7. Biographical Sketches
    5. Chapter 32: Reference Architecture:
      1. Definition of a Reference Architecture
      2. Scope and Objectives of a Reference Architecture
      3. Developing a Reference Architecture
      4. References
      5. Biographical Sketches
    6. Chapter 33: Mission Engineering Competency Framework
      1. Introduction
      2. Mission Engineering Competency
      3. Exploring Mission Engineering Competencies
      4. The Mission Engineering Competency Framework (MECF)
      5. The Path to Mission Engineering
      6. Appendix A: MECF Detailed Competency Descriptions by Area
      7. References
      8. Biographical Sketches
  16. Part VII: Applying Systems Engineering to Enterprise Systems and Portfolio Management
    1. Chapter 34: Central Challenges in Modeling and Analyzing Enterprises as Systems
      1. Introduction
      2. Systems Modeling
      3. Emergent and Complex Phenomena
      4. Uncertainties and Control
      5. Access and Utilization of Information and Knowledge
      6. Information and Knowledge Requirements
      7. Information and Knowledge Support Systems
      8. Inductive Reasoning
      9. Misinformation and Disinformation
      10. Learning Organizations
      11. Planning and Design
      12. Optimization vs. Agility
      13. Measurement and Evaluation
      14. Summary
      15. References
      16. Biographical Sketches
    2. Chapter 35: Methods for Integrating Dynamic Requirements and Emerging Technologies
      1. Introduction
      2. Sources of Uncertainties
      3. Managing Uncertainties
      4. Representing Solutions
      5. Projecting Value
      6. Case Study: Driverless Cars for Disabled and Older Adults
      7. Conclusions
      8. References
      9. Biographical Sketches
    3. Chapter 36: Portfolio Management and Optimization for System of Systems
      1. Overview and Motivation
      2. Systems Engineering Process for Portfolio Management Problems
      3. Portfolio Optimization and Analysis
      4. Combinatorial Design Space Analysis Tool
      5. Conclusions and Key Takeaways
      6. References
      7. Biographical Sketches
    4. Chapter 37: Assessing Benefits of Modularity in Missions and System of Systems
      1. Introduction
      2. Benefits of Modularity
      3. Potential Drawbacks of Modularity
      4. Assessing Modularity Benefits in an SoS/Mission Context
      5. Example Application: Amphibious Warfare Scenario
      6. References
      7. Biographical Sketches
  17. Part VIII: Systems Education and Competencies in the Age of Digital Engineering, Convergence, and AI
    1. Chapter 38: Using the Systems Engineering Body of Knowledge (SEBoK)
      1. Development of the SEBoK
      2. What's Included in the SEBoK?
      3. How Is the SEBoK Organized?
      4. How Can I Use the SEBoK?
      5. Conclusions
      6. References
      7. Biographical Sketches
    2. Chapter 39: Understanding Critical Skills for Systems Engineers
      1. Understanding Critical Skills for Systems Engineers
      2. Choose Your Competency
      3. Assess Your Competency
      4. Creating Your Path
      5. References
      6. Biographical Sketches
    3. Chapter 40: Evolving University Programs on Systems Engineering
      1. Introduction
      2. Background
      3. Analysis of System Engineering Curricula
      4. Evolving University Programs
      5. Conclusion
      6. References
      7. Biographical Sketches
    4. Chapter 41: Evolving University Programs for the Other 95% of Engineers: A Capstone Marketplace
      1. Introduction to the Capstone Marketplace
      2. How Do Capstone Projects Work?
      3. Executing a Capstone Project
      4. Pedagogy of SERC's Capstones
      5. Capstone Highlights
      6. Benefits and Challenges
      7. Future Directions: Get Involved
      8. References
      9. Biographical Sketches
  18. Index
  19. End User License Agreement

Product information

  • Title: Systems Engineering for the Digital Age
  • Author(s): Dinesh C. Verma
  • Release date: October 2023
  • Publisher(s): Wiley
  • ISBN: 9781394203284