Professor Azad M. Madni is the Technical Director of the Systems Architecting and Engineering Program at the University of Southern California Viterbi School of Engineering.  His research areas include complex system analysis and design, complexity management, socio-technical systems, modelling and simulation, model based engineering, resilient systems, and integration of humans with adaptable systems. Professor Barry Boehm is the TRW Professor of Software Engineering and Director Emeritus, Center for Software Engineering, University of Southern California.  His research interests focus on value-based software engineering, including a method for integrating a software system's process models, product models, property models, and success models called Model-Based (System) Architecting and Software Engineering (MBASE).Professor Roger Ghanem is in the Sony Astani Department of Civil Engineering at the University of Southern California.  He is a leadingresearcher in probabilistic modeling and computational stochastic mechanics, and quantitative models for the propagation of uncertainty in physical systems.  Professor Daniel Erwin is the chair of the department of Astronautical Engineering at the University of Southern California.  He is a leading researcher in spacecraft propulsion, optics and optical instruments, kinetics of gases and plasmas.Ms. Marilee Wheaton is a Systems Engineering Fellow at The Aerospace Corporation in California, where she previously was the Executive Director of Aerospace’s corporate university, The Aerospace Institute.

• Part 1: Engineered Resilience and Affordability.- Chapter1. Engineering Resilience for Complex Systems.- Chapter2. Early Lifecycle Cost Estimation: Fiscal Stewardship with Engineered Resilient Systems.- Chapter3. Introducing Resilience into Multi-UAV System-of-Systems Network.- Chapter4. Considerations for Engineered Resilience from Examples of Resilient Systems.- Chapter5. High Reliability Imperative for Autonomous Networked Vehicles.- Chapter6. Resilience Concepts for Architecting an Autonomous Military Vehicle System-of-Systems.- Chapter7. A robust portfolio optimization approach using parametric piecewise linear models of system dependencies.- Chapter8. Interactive model trading for resilient systems decisions.- Chapter9. An Empirical Study of Technical Debt in Open-Source Software Systems.- Part 2: System-of-Systems Integration.- Chapter10. Applying the Cyber Security Game to a Point of Sale System.- Chapter11. Resilient Cyber Secure Systems and System of Systems: Implications forthe Department of Defense.- Chapter12. Architecting Cyber-Secure, Resilient System-of-Systems.- Chapter13.- Inference Enterprise Multi-Modeling for Insider Threat Detection Systems.- Chapter14. SoS Explorer: a tool for system-of-systems architecting.- Chapter15. A Principles Framework to Inform Defense SoSE Methodologies.- Chapter16. Complex System Analysis and Verification: A Comprehensive Approach and Case Study.- Chapter17. A model framework for determining dynamic architecture goals in a System-of-Systems.- Chapter18. Understanding how social network analysis can provide insights into emergent networks of systems.- Part 3: Tradespace Visualization and Exploration.- Chapter19. Designing for System Value Sustainment using Interactive Epoch-Era Analysis: A Case Study from Commercial Offshore Ships.- Chapter20. Simulation-Based Air Mission Evaluation with Bayesian Threat Assessment for Opposing Forces.- Chapter21. Tradespace Exploration – Promise and Limits.- Part 4: Model-Based Systems Engineering and Integration.- Chapter22. Model-Based Systems Engineering: Motivation, Current Status, and Needed Advances.- Chapter23. High Fidelity Simulation Surrogate Models For Systems Engineering.- Chapter24. Discovering toxic policies using MBSE constructs.- Chapter25. Model-based Engineering: Analysis of Alternatives for Optical Satellite Observation.- Chapter26. Model-Based Approach for Engineering Resilient System-of-Systems: Application to Autonomous Vehicle Networks.- Chapter27. Validation and Verification of MBSE-compliant CubeSat Reference Model.- Chapter28. An Architecture Profile for Human System Integration.- Chapter29. Formal Methods in Resilient Systems Design: Application to Multi-UAV System-of-Systems Control.- Chapter30. Improving Lifecycle Product Data Management (LPDM) Within the US Army Research, Development and Engineering Command (RDECOM).- Chapter31. Verification and validation of behavior models using lightweight formal methods.- Chapter32. Categorical foundations for systems engineering.- Part s5: System Architecture and Complexity.- Chapter33. A facilitated expert-based approach to architecting “prizeable” complex systems.- Chapter34. A Framework for Measuring the Fit Between Product and Organizational Architectures.- Chapter35. Developing an Effective Optical Satellite Communications Architecture.- Chapter36. Preference Modeling for Government-Owned Large-Scale Complex Engineered Systems – A Satellite Case Study.- Chapter37. System safety data network: Architecture and Blueprint.- Chapter38. Scalability in self-organizing systems: an experimental case study on foraging systems.- Chapter39. Evaluation of cross-project multitasking in software projects.- Chapter40. Cultural Worldviews on an Aerospace Standards Committee: a Preliminary Analysis.- Chapter41. The Flexibility of Generic Architectures: Lessons from the Human Nervous System.- Chapter42. Multi-objective optimization of Geosynchronous Earth Orbit space situational awareness system architectures.- Chapter43. System user pathways to change.- Part 6: Systems Science, Systems Thinking and Complexity Management.- Chapter44. Threshold Metric for Mapping Natural Language Relationships among Objects.- Chapter45. On the Nature of Systems Thinking and Systems Science: Similarities, Differences, Potential Synergies.- Chapter46. Three General Systems Principles and their Derivation: Insights from the Philosophy of Science Applied to Systems Concepts.- Chapter47. Systems Engineering Pathology: Leveraging Science to Characterize Dysfunction.- Chapter48. Using the PICARD theory as a tool to improve systems thinking ability.- Chapter49. Agency and causal factors in social system behavior: Advancing human systems engineering with general system theory.- Chapter50. Classifying Emergent Behavior to Reveal Design Patterns.- Chapter51. Collective behaviors: Systemic view of distinct forces in a new framework.- Chapter52. Generational Evolution in Complex Engineered Systems.- Chapter53. Evaluating how internal health assessment can trigger anticipatory intervention as part of a resilient system.- Chapter54. An Analysis of Individual Systems Thinking Elements.- Part 7: Systems Engineering and Decision Science.- Chapter55. Using Bayesian Networks to Validate Technology Readiness Assessments of Systems.- Chapter56. Adaptive and Automated Reasoning for Autonomous System Resilience in Uncertain Worlds.- Chapter57. Model-centric decision-making: exploring decision-maker trust and perception of models.- Chapter58. Implementing Value-Driven Design in Modelica for a racing solar boat.- Chapter59. A game theoretical perspective on incentivizing collaboration in system design.- Part 8: Systems Engineering and Smart Manufacturing.- Chapter60. Towards a Diagnostic and Prognostic Method for Knowledge-Driven Decision Making in Smart Manufacturing Technologies.- Chapter61. Patterns for modeling operational control of discrete event logistics systems (DELS).- Chapter62. Towards Automated Generation of Multimodal Assembly Instructions for Humans Operators.- Part 9: Systems Engineering Applications.- Chapter63. A Game Theory Perspective on Requirement-Based Engineering Design.- Chapter64. Structural Rules for Sound Business Process Implemented by UML Activity Diagram.- Chapter65. A Value Driven Approach to Capture Unintended Consequences Impacting Mission Success.- Chapter66. Survey of Four Uncertainty Quantifications Methods in Systems Engineering.- Chapter67. Using systems engineering to create a survivable communications system that will operate in the presence of “Black Sky” hazards.- Chapter68. Interdependency effects on the electricity grid following a “Black Sky” hazard.- Chapter69. Black Sky hazards: Systems engineering as a unique tool to prevent national catastrophe.- Chapter70. Agile Fit Check Framework for Government Acquisition Programs.- Chapter71. The Agile Systems Framework: Enterprise Content Management Case.- Chapter72. Quantifying the ilities: a literature review of robustness, interoperabilisty, and agility.- Chapter73. A Systems Integration Framework for Interdisciplinary Black Sky Operations.- Part 10: Systems Engineering Education.- Chapter74. An architecture analysis of a cyber secondary school as a system of systems.- Chapter75. Systems Engineering - making people talk.- Chapter76. Development of a project-oriented and transnational master course for training the engineering competencies.- Chapter77. The Role of Decision Analysis in Industrial and Systems Engineering Education.- Chapter78. Strengthening systems engineering leadership curricula using competency-based assessment.- Chapter79. Integrating systems engineering students in capstones: a multi-spectrum characterization of interdisciplinary capstones.- Chapter80. SEEA: Accelerated Learning and Learning Assessment for Systems Engineering Education.- Chapter81. Future Systems Engineering Research Directions.

Professor Azad M. Madni is the Technical Director of the Systems Architecting and Engineering Program at the University of Southern California Viterbi School of Engineering.  His research areas include complex system analysis and design, complexity management, socio-technical systems, modelling and simulation, model based engineering, resilient systems, and integration of humans with adaptable systems. Professor Barry Boehm is the TRW Professor of Software Engineering and Director Emeritus, Center for Software Engineering, University of Southern California.  His research interests focus on value-based software engineering, including a method for integrating a software system's process models, product models, property models, and success models called Model-Based (System) Architecting and Software Engineering (MBASE).Professor Roger Ghanem is in the Sony Astani Department of Civil Engineering at the University of Southern California.  He is a leadingresearcher in probabilistic modeling and computational stochastic mechanics, and quantitative models for the propagation of uncertainty in physical systems.  Professor Daniel Erwin is the chair of the department of Astronautical Engineering at the University of Southern California.  He is a leading researcher in spacecraft propulsion, optics and optical instruments, kinetics of gases and plasmas.Ms. Marilee Wheaton is a Systems Engineering Fellow at The Aerospace Corporation in California, where she previously was the Executive Director of Aerospace’s corporate university, The Aerospace Institute.

• Part 1: Engineered Resilience and Affordability.- Chapter1. Engineering Resilience for Complex Systems.- Chapter2. Early Lifecycle Cost Estimation: Fiscal Stewardship with Engineered Resilient Systems.- Chapter3. Introducing Resilience into Multi-UAV System-of-Systems Network.- Chapter4. Considerations for Engineered Resilience from Examples of Resilient Systems.- Chapter5. High Reliability Imperative for Autonomous Networked Vehicles.- Chapter6. Resilience Concepts for Architecting an Autonomous Military Vehicle System-of-Systems.- Chapter7. A robust portfolio optimization approach using parametric piecewise linear models of system dependencies.- Chapter8. Interactive model trading for resilient systems decisions.- Chapter9. An Empirical Study of Technical Debt in Open-Source Software Systems.- Part 2: System-of-Systems Integration.- Chapter10. Applying the Cyber Security Game to a Point of Sale System.- Chapter11. Resilient Cyber Secure Systems and System of Systems: Implications forthe Department of Defense.- Chapter12. Architecting Cyber-Secure, Resilient System-of-Systems.- Chapter13.- Inference Enterprise Multi-Modeling for Insider Threat Detection Systems.- Chapter14. SoS Explorer: a tool for system-of-systems architecting.- Chapter15. A Principles Framework to Inform Defense SoSE Methodologies.- Chapter16. Complex System Analysis and Verification: A Comprehensive Approach and Case Study.- Chapter17. A model framework for determining dynamic architecture goals in a System-of-Systems.- Chapter18. Understanding how social network analysis can provide insights into emergent networks of systems.- Part 3: Tradespace Visualization and Exploration.- Chapter19. Designing for System Value Sustainment using Interactive Epoch-Era Analysis: A Case Study from Commercial Offshore Ships.- Chapter20. Simulation-Based Air Mission Evaluation with Bayesian Threat Assessment for Opposing Forces.- Chapter21. Tradespace Exploration – Promise and Limits.- Part 4: Model-Based Systems Engineering and Integration.- Chapter22. Model-Based Systems Engineering: Motivation, Current Status, and Needed Advances.- Chapter23. High Fidelity Simulation Surrogate Models For Systems Engineering.- Chapter24. Discovering toxic policies using MBSE constructs.- Chapter25. Model-based Engineering: Analysis of Alternatives for Optical Satellite Observation.- Chapter26. Model-Based Approach for Engineering Resilient System-of-Systems: Application to Autonomous Vehicle Networks.- Chapter27. Validation and Verification of MBSE-compliant CubeSat Reference Model.- Chapter28. An Architecture Profile for Human System Integration.- Chapter29. Formal Methods in Resilient Systems Design: Application to Multi-UAV System-of-Systems Control.- Chapter30. Improving Lifecycle Product Data Management (LPDM) Within the US Army Research, Development and Engineering Command (RDECOM).- Chapter31. Verification and validation of behavior models using lightweight formal methods.- Chapter32. Categorical foundations for systems engineering.- Part s5: System Architecture and Complexity.- Chapter33. A facilitated expert-based approach to architecting “prizeable” complex systems.- Chapter34. A Framework for Measuring the Fit Between Product and Organizational Architectures.- Chapter35. Developing an Effective Optical Satellite Communications Architecture.- Chapter36. Preference Modeling for Government-Owned Large-Scale Complex Engineered Systems – A Satellite Case Study.- Chapter37. System safety data network: Architecture and Blueprint.- Chapter38. Scalability in self-organizing systems: an experimental case study on foraging systems.- Chapter39. Evaluation of cross-project multitasking in software projects.- Chapter40. Cultural Worldviews on an Aerospace Standards Committee: a Preliminary Analysis.- Chapter41. The Flexibility of Generic Architectures: Lessons from the Human Nervous System.- Chapter42. Multi-objective optimization of Geosynchronous Earth Orbit space situational awareness system architectures.- Chapter43. System user pathways to change.- Part 6: Systems Science, Systems Thinking and Complexity Management.- Chapter44. Threshold Metric for Mapping Natural Language Relationships among Objects.- Chapter45. On the Nature of Systems Thinking and Systems Science: Similarities, Differences, Potential Synergies.- Chapter46. Three General Systems Principles and their Derivation: Insights from the Philosophy of Science Applied to Systems Concepts.- Chapter47. Systems Engineering Pathology: Leveraging Science to Characterize Dysfunction.- Chapter48. Using the PICARD theory as a tool to improve systems thinking ability.- Chapter49. Agency and causal factors in social system behavior: Advancing human systems engineering with general system theory.- Chapter50. Classifying Emergent Behavior to Reveal Design Patterns.- Chapter51. Collective behaviors: Systemic view of distinct forces in a new framework.- Chapter52. Generational Evolution in Complex Engineered Systems.- Chapter53. Evaluating how internal health assessment can trigger anticipatory intervention as part of a resilient system.- Chapter54. An Analysis of Individual Systems Thinking Elements.- Part 7: Systems Engineering and Decision Science.- Chapter55. Using Bayesian Networks to Validate Technology Readiness Assessments of Systems.- Chapter56. Adaptive and Automated Reasoning for Autonomous System Resilience in Uncertain Worlds.- Chapter57. Model-centric decision-making: exploring decision-maker trust and perception of models.- Chapter58. Implementing Value-Driven Design in Modelica for a racing solar boat.- Chapter59. A game theoretical perspective on incentivizing collaboration in system design.- Part 8: Systems Engineering and Smart Manufacturing.- Chapter60. Towards a Diagnostic and Prognostic Method for Knowledge-Driven Decision Making in Smart Manufacturing Technologies.- Chapter61. Patterns for modeling operational control of discrete event logistics systems (DELS).- Chapter62. Towards Automated Generation of Multimodal Assembly Instructions for Humans Operators.- Part 9: Systems Engineering Applications.- Chapter63. A Game Theory Perspective on Requirement-Based Engineering Design.- Chapter64. Structural Rules for Sound Business Process Implemented by UML Activity Diagram.- Chapter65. A Value Driven Approach to Capture Unintended Consequences Impacting Mission Success.- Chapter66. Survey of Four Uncertainty Quantifications Methods in Systems Engineering.- Chapter67. Using systems engineering to create a survivable communications system that will operate in the presence of “Black Sky” hazards.- Chapter68. Interdependency effects on the electricity grid following a “Black Sky” hazard.- Chapter69. Black Sky hazards: Systems engineering as a unique tool to prevent national catastrophe.- Chapter70. Agile Fit Check Framework for Government Acquisition Programs.- Chapter71. The Agile Systems Framework: Enterprise Content Management Case.- Chapter72. Quantifying the ilities: a literature review of robustness, interoperabilisty, and agility.- Chapter73. A Systems Integration Framework for Interdisciplinary Black Sky Operations.- Part 10: Systems Engineering Education.- Chapter74. An architecture analysis of a cyber secondary school as a system of systems.- Chapter75. Systems Engineering - making people talk.- Chapter76. Development of a project-oriented and transnational master course for training the engineering competencies.- Chapter77. The Role of Decision Analysis in Industrial and Systems Engineering Education.- Chapter78. Strengthening systems engineering leadership curricula using competency-based assessment.- Chapter79. Integrating systems engineering students in capstones: a multi-spectrum characterization of interdisciplinary capstones.- Chapter80. SEEA: Accelerated Learning and Learning Assessment for Systems Engineering Education.- Chapter81. Future Systems Engineering Research Directions.