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Recent Trends and Advances in Model Based Systems Engineering / edited by Azad M. Madni, Barry Boehm, Daniel Erwin, Mahta Moghaddam, Michael Sievers, Marilee Wheaton.

Springer eBooks EBA - Engineering Collection 2022 Available online

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Format:
Book
Contributor:
Madni, Azad M., editor.
Language:
English
Subjects (All):
Industrial management.
Computer simulation.
System theory.
Control theory.
Mathematical optimization.
Industrial engineering.
Production engineering.
Industrial Management.
Computer Modelling.
Systems Theory, Control.
Optimization.
Industrial and Production Engineering.
Local Subjects:
Industrial Management.
Computer Modelling.
Systems Theory, Control.
Optimization.
Industrial and Production Engineering.
Physical Description:
1 online resource (709 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
Summary:
This volume comprises papers from the 18th Conference on Systems Engineering Research (CSER). The theme of this volume, “Recent Trends and Advances in Model-Based Systems Engineering,” reflects the fact that systems engineering is undergoing a transformation motivated by mission and system complexity and enabled by technological advances such as model-based systems engineering, digital engineering, and the convergence of systems engineering with other disciplines. This conference is focused on exploring recent trends and advances in model-based systems engineering (MBSE) and the synergy of MBSE with simulation technology and digital engineering. Contributors have submitted papers on MBSE methods, modeling approaches, integration of digital engineering with MBSE, standards, modeling languages, ontologies and metamodels, and economics analysis of MBSE to respond to the challenges posed by 21st century systems. What distinguishes this volume are the latest advances in MBSE research, the convergence of MBSE with digital engineering, and recent advances in applied research in MBSE, including growing convergence with systems science and decision science. This volume is appropriate as a reference text in graduate engineering courses in Model-Based Systems Engineering.
Contents:
Towards a Reference Architecture for Digital and Model-based Engineering Information Systems
Digital Engineering Ecosystem for Future Nuclear Power Plants: Innovation of Ontologies, Tools, and Data Exchange
Introducing digital doppelgängers for health care policy analysis
Employing Digital Twins within MBSE: Preliminary Results and Findings
A Review of Set-Based Design Research Opportunities
Digital Modernization for Systems Engineering
Investigating Model Credibility within a Model Curation Context
Automated Detection of Architecture Patterns in MBSE Models
A survey of super-resolution techniques for a potential CubeSat imagery system architecture
Data analytics of a honeypot system based on a Markov decision process model
Probabilistic System Modeling for Complex Systems Operating in Uncertain Environments
Identification of Adverse Operational Conditions in Sociotechnical Systems: A Data Analytics Approach
Dynamic Causal Hidden Markov Model Risk Assessment
Minimum Viable Model to Demonstrate Value Proposition of Ontologies for Model Based Systems Engineering
Ontological Modeling of Time and Time-Based Reasoning for Systems of Systems
Ontology-Enabled Hardware-Software Testbed for Engineering Adaptive Systems
An Ontology for System Reconfiguration: Integrated Modular Avionics IMA Case Study
Reducing Design Rework using Set-based Design in a Model Centric Environment
Knowledge Representation and Reasoning in the Context of Systems Engineering
Ontology-driven Knowledge Modeling and Reasoning for Multi-domain System Architecting and Configuration
A Literature Review of the Integration of Test Activities into the Product Development Process
Implementing a MOSA Decision Support Tool in a Model-Based Environment
Change Management Processes in MBSE
The Need for Semantic Extension of SysML to Model the Problem Space
Variant modeling for multi-perspective, multi-fidelity systems simulation
An Executable Systems Modeling Language (ESysML): Motivations & Overview of Language Structure
Quantitative System Reliability and Availability Analysis Using SysML
Towards Making the Business Case for MBSE
COSYSMO 3.0’s Improvements in Estimating and Methodology
Assurance case property checking with MMINT-A and OCL
Interpretation Discrepancies of SysML State Machine: An Initial Investigation
Fuzzy Multicriteria Optimization for System Engineer’s Design of Myoelectric Prostheses
Functional Decomposition: Evaluating Systems Engineering Techniques
Collaborative Management of Research Projects in SysML.
Notes:
Includes bibliographical references and index.
Other Format:
Print version: Madni, Azad M. Recent Trends and Advances in Model Based Systems Engineering
ISBN:
3-030-82083-1

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