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Disciplinary Convergence in Systems Engineering Research 1st ed. 2018 [Hardback]

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  • Formāts: Hardback, 1201 pages, height x width: 235x155 mm, weight: 2191 g, 244 Illustrations, color; 140 Illustrations, black and white; XIV, 1201 p. 384 illus., 244 illus. in color., 1 Hardback
  • Izdošanas datums: 14-Dec-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319622161
  • ISBN-13: 9783319622163
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  • Formāts: Hardback, 1201 pages, height x width: 235x155 mm, weight: 2191 g, 244 Illustrations, color; 140 Illustrations, black and white; XIV, 1201 p. 384 illus., 244 illus. in color., 1 Hardback
  • Izdošanas datums: 14-Dec-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319622161
  • ISBN-13: 9783319622163

The theme of this volume on systems engineering research is disciplinary convergence: bringing together concepts, thinking, approaches, and technologies from diverse disciplines to solve complex problems. Papers presented at the Conference on Systems Engineering Research (CSER), March 23-25, 2017 at Redondo Beach, CA, are included in this volume. This collection provides researchers in academia, industry, and government forward-looking research from across the globe, written by renowned academic, industry and government researchers.

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 Aerospaces corporate university, The Aerospace Institute.