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Disciplinary Convergence in Systems Engineering Research

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Cover of 'Disciplinary Convergence in Systems Engineering Research'

Table of Contents

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    Book Overview
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    Chapter 1 Engineering Resilience for Complex Systems
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    Chapter 2 Early Life Cycle Cost Estimation: Fiscal Stewardship with Engineered Resilient Systems
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    Chapter 3 Introducing Resilience into Multi-UAV System-of-Systems Network
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    Chapter 4 Considerations for Engineered Resilience from Examples of Resilient Systems
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    Chapter 5 High Reliability Imperative for Autonomous Networked Vehicles
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    Chapter 6 Resilience Concepts for Architecting an Autonomous Military Vehicle System-of-Systems
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    Chapter 7 A Robust Portfolio Optimization Approach Using Parametric Piecewise Linear Models of System Dependencies
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    Chapter 8 Interactive Model Trading for Resilient Systems Decisions
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    Chapter 9 An Empirical Study of Technical Debt in Open-Source Software Systems
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    Chapter 10 Applying the Cybersecurity Game to a Point-of-Sale System
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    Chapter 11 Resilient Cyber-Secure Systems and System of Systems: Implications for the Department of Defense
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    Chapter 12 Architecting Cyber-Secure, Resilient System-of-Systems
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    Chapter 13 Inference Enterprise Multimodeling for Insider Threat Detection Systems
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    Chapter 14 SoS Explorer: A Tool for System-of-Systems Architecting
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    Chapter 15 A Principles Framework to Inform Defence SoSE Methodologies
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    Chapter 16 System Analysis and Verification: A Comprehensive Approach and Case Study
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    Chapter 17 A Model Framework for Determining Dynamic Architecture Goals in a Systems-of-Systems
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    Chapter 18 Understanding How Social Network Analysis Can Provide Insights Into Emergent Networks of Systems
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    Chapter 19 Designing for System Value Sustainment Using Interactive Epoch–Era Analysis: A Case Study from Commercial Offshore Ships
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    Chapter 20 Simulation-Based Air Mission Evaluation with Bayesian Threat Assessment for Opposing Forces
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    Chapter 21 Tradespace Exploration: Promise and Limits
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    Chapter 22 Model-Based Systems Engineering: Motivation, Current Status, and Needed Advances
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    Chapter 23 High-Fidelity Simulation Surrogate Models for Systems Engineering
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    Chapter 24 Discovering Toxic Policies Using MBSE Constructs
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    Chapter 25 Model-Based Engineering: Analysis of Alternatives for Optical Satellite Observation
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    Chapter 26 Model-Based Approach for Engineering Resilient System-of-Systems: Application to Autonomous Vehicle Networks
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    Chapter 27 Validation and Verification of MBSE-Compliant CubeSat Reference Model
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    Chapter 28 An Architecture Profile for Human–System Integration
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    Chapter 29 Formal Methods in Resilient Systems Design: Application to Multi-UAV System-of-Systems Control
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    Chapter 30 Improving Lifecycle Product Data Management (LPDM) Within the US Army Research, Development, and Engineering Command (RDECOM)
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    Chapter 31 Verification and Validation of Behavior Models Using Lightweight Formal Methods
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    Chapter 32 Categorical Foundations for System Engineering
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    Chapter 33 A Facilitated Expert-Based Approach to Architecting “Prizeable” Complex Systems
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    Chapter 34 A Framework for Measuring the “Fit” Between Product and Organizational Architectures
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    Chapter 35 Developing an Effective Optical Satellite Communications Architecture
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    Chapter 36 Preference Modeling for Government-Owned Large-Scale Complex Engineered Systems: A Satellite Case Study
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    Chapter 37 System Safety Data Network: Architecture and Blueprint
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    Chapter 38 Scalability in Self-Organizing Systems: An Experimental Case Study on Foraging Systems
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    Chapter 39 Evaluation of Cross-Project Multitasking in Software Projects
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    Chapter 40 Cultural Worldviews on an Aerospace Standards Committee: A Preliminary Analysis
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    Chapter 41 The Flexibility of Generic Architectures: Lessons from the Human Nervous System
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    Chapter 42 Multiobjective Optimization of Geosynchronous Earth Orbit Space Situational Awareness Systems via Parallel Executable Architectures
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    Chapter 43 System User Pathways to Change
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    Chapter 44 Threshold Metric for Mapping Natural Language Relationships Among Objects
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    Chapter 45 On the Nature of Systems Thinking and Systems Science: Similarities, Differences, and Potential Synergies
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    Chapter 46 Three General Systems Principles and Their Derivation: Insights from the Philosophy of Science Applied to Systems Concepts
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    Chapter 47 Systems Engineering Pathology: Leveraging Science to Characterize Dysfunction
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    Chapter 48 Using the PICARD Theory as a Tool to Improve Systems Thinking Ability
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    Chapter 49 Agency and Causal Factors in Social System Behavior: Advancing Human Systems Engineering with General System Theory
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    Chapter 50 Classifying Emergent Behavior to Reveal Design Patterns
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    Chapter 51 Collective Behaviors: Systemic View of Distinct Forces in a New Framework
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    Chapter 52 Generational Evolution in Complex Engineered Systems
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    Chapter 53 Evaluating How System Health Assessment Can Trigger Anticipatory Action for Resilience
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    Chapter 54 An Analysis of Individual Systems Thinking Elements
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    Chapter 55 Using Bayesian Networks to Validate Technology Readiness Assessments of Systems
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    Chapter 56 Adaptive and Automated Reasoning for Autonomous System Resilience in Uncertain Worlds
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    Chapter 57 Model-Centric Decision-Making: Exploring Decision-Maker Trust and Perception of Models
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    Chapter 58 Implementing Value-Driven Design in Modelica for a Racing Solar Boat
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    Chapter 59 A Game Theoretical Perspective on Incentivizing Collaboration in System Design
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    Chapter 60 Toward a Diagnostic and Prognostic Method for Knowledge-Driven Decision-Making in Smart Manufacturing Technologies
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    Chapter 61 Patterns for Modeling Operational Control of Discrete Event Logistics Systems (DELS)
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    Chapter 62 Toward Automated Generation of Multimodal Assembly Instructions for Human Operators
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    Chapter 63 A Game Theory Perspective on Requirement-Based Engineering Design
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    Chapter 64 Structural Rules for Sound Business Process Implemented by UML Activity Diagram
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    Chapter 65 A Value-Driven Approach to Capture Unintended Consequences Impacting Mission Success
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    Chapter 66 Survey of Four Uncertainty Quantifications Methods in Systems Engineering
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    Chapter 67 Using Systems Engineering to Create a Survivable Communications System that will Operate in the Presence of “Black Sky” Hazards
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    Chapter 68 Interdependency Effects on the Electricity Grid Following a “Black Sky” Hazard
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    Chapter 69 Black Sky Hazards: Systems Engineering as a Unique Tool to Prevent National Catastrophe
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    Chapter 70 Agile Fit Check Framework for Government Acquisition Programs
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    Chapter 71 The Agile Systems Framework: Enterprise Content Management Case
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    Chapter 72 Quantifying the Ilities: A Literature Review of Robustness, Interoperability, and Agility
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    Chapter 73 A Systems Integration Framework for Interdisciplinary Black Sky Operations
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    Chapter 74 An Architecture Analysis of a Cyber Secondary School as a System of Systems
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    Chapter 75 Systems Engineering: Making People Talk!
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    Chapter 76 Development of a Project-Oriented and Transnational Master Course for Training the Engineering Competencies
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    Chapter 77 The Role of Decision Analysis in Industrial and Systems Engineering Education
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    Chapter 78 Strengthening Systems Engineering Leadership Curricula Using Competency-Based Assessment
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    Chapter 79 Integrating Systems Engineering Students in Capstones: A Multispectrum Characterization of Interdisciplinary Capstones
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    Chapter 80 SEEA: Accelerated Learning and Learning Assessment for Systems Engineering Education
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    Chapter 81 Future Systems Engineering Research Directions
Overall attention for this book and its chapters
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Citations

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Title
Disciplinary Convergence in Systems Engineering Research
Published by
Springer, Cham, December 2017
DOI 10.1007/978-3-319-62217-0
ISBNs
978-3-31-962216-3, 978-3-31-962217-0
Editors

Azad M. Madni, Barry Boehm, Roger G. Ghanem, Daniel Erwin, Marilee J. Wheaton

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 32%
Student > Master 16 21%
Researcher 8 11%
Student > Doctoral Student 4 5%
Other 3 4%
Other 9 12%
Unknown 12 16%
Readers by discipline Count As %
Engineering 35 46%
Computer Science 14 18%
Business, Management and Accounting 3 4%
Social Sciences 3 4%
Environmental Science 1 1%
Other 3 4%
Unknown 17 22%