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MBSE and SysML

MBSE and SysML

Model based systems engineering (MBSE) extends traditional systems engineering methods in order to efficiently create systems that are agile in the face of dynamically changing environmental conditions and requirements. MBSE is a collection of processes, methods and tools that enable capability-based system design and development. In MBSE, the activities supporting the system engineering process are accomplished iteratively through development of increasingly detailed models. These models are utilized as operational prototypes to support the search for alternatives, design refinement and validation, system integration and verification, and system operation.

SysML is a visual modeling language that allows industry standard communication among systems lifecycle development activities. It is based on UML 2.0 and provides additional set of modeling diagrams for hardware, software, data, procedures and other system components.

RIMES focuses on abstract modeling of the user domain as well as modeling methodologies, model libraries and ontology creation for analysis of complex systems including system-of-systems. RIMES incorporates SysML and/or UML into their model-based systems analysis and methodologies with the objective of building integrated models that capture cognitive, information and social aspects of complex systems. Some of the modeling methodologies of interest to RIMES are multi-agent models, intelligent cognitive architectures, Colored Petri Nets, and discrete event models. RIMES also focuses on the development of systems engineering processes through model based analysis. Process areas of interest include process as different from product, process efficiency, cycle-shortening, integrated process sensing & control, evolution, and drift correction. MBSE area supports other RIMES research areas including architecture analysis, service oriented architecture applications, risk and reliability modeling.

  • Complex System Modeling, Testing and Re-Engineering with Complementary Methods for System Dynamics,Bharath Dantu and Eric D. Smith, Complex System Modeling, Testing and Re-Engineering with Complementary Methods for System Dynamics, Test & Evaluation of Systems of Systems Conference, International Test & Evaluation Association (ITEA), El Paso, TX, 2012.

  • Assessment of DoDAF as an Architectural Framework Evolving toward Syntactic and Semantic Completeness,Francisco Chagolla and Eric D. Smith, Assessment of DoDAF as an Architectural Framework Evolving toward Syntactic and Semantic Completeness, Test & Evaluation of Systems of Systems Conference, International Test & Evaluation Association (ITEA), El Paso, TX, 2012.

  • Enterprise Transformation through Aspects and Levels: Zachman Bayesian Approach,Ramakanth Gona and Eric D. Smith, Enterprise Transformation through Aspects and Levels: Zachman Bayesian Approach, Complex Adaptive Systems Conference, Chicago, IL, 2011.

  • Zachman Framework Consolidation of Quality Measures Across the Testing & Evaluation Enterprise,Ramakanth Gona and Eric D. Smith, Zachman Framework Consolidation of Quality Measures Across the Testing & Evaluation Enterprise, Live Virtual Constructive (LVC) Conference, International Test & Evaluation Association (ITEA), El Paso, TX, 2011.

  • Architectural Framework & Modeling Innovations for Attribute Based Testing & Evaluation,Eric D. Smith, Ricardo Pineda and Justin Kieser, Architectural Framework & Modeling Innovations for Attribute Based Testing & Evaluation, Live Virtual Constructive (LVC) Conference, International Test & Evaluation Association (ITEA), El Paso, TX, 2010.

  • Dagli C. and Kilicay-Ergin N., 2009, “Chapter 4: System of Systems Architecting” in System of Systems: Innovations for the 21st Century, ed. Jamshidi M., Wiley & Sons Inc.

  • Complementarity in Systems Architecting, Eric D. Smith, Conference on Systems Engineering Research (CSER), 2008, Los Angeles, CA.

  • Valid Models Require Defined Levels, A. Terry Bahill, Ferenc Szidarovszky, Rick Botta, Eric D. Smith, International Journal of General Systems, 37(5), 2008.

  • What Are Levels? A. Terry Bahill, Ferenc Szidarovszky, Rick Botta, Eric D. Smith, Proceedings of the International Council on Systems and Industrial, Manufacturing & Systems Engineering (INCOSE) 15th International Symposium, 2005, Rochester, NY.

  • Quantum Mechanical Principles of Emergence, Eric D. Smith and Neale R. Smith, Artificial Neural Networks in Engineering (ANNIE), 2007, St. Louis, MO.

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