System modeling with mixed object and data models

Hessam Sarjoughian, Robert Flasher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

System designs are described from object and data centric perspectives. Component-based modeling approaches are well suited to specify structure and behavior of systems in terms of objects and relationships. Ontologybased modeling approaches describe a system's specification using data types and relationships. The Scalable Entity Structure Modeler is a component-based modeling framework suitable for specifying alternative system designs. This approach is extended with XML Schema to support unified dynamic objects and static data specifications for system design specifications. An example illustrating mixed component and data modeling is described using an extended realization of the SESM environment.

Original languageEnglish (US)
Title of host publicationAgent Directed Simulation Symposium, ADS 2007 - Proceedings of the 2007 Spring Simulation Multiconference, SpringSim 2007
PublisherAssociation for Computing Machinery, Inc
Pages199-206
Number of pages8
ISBN (Electronic)1565553136, 9781565553132
StatePublished - Mar 25 2007
Event2007 Agent Directed Simulation Symposium, ADS 2007 - Norfolk, United States
Duration: Mar 25 2007Mar 29 2007

Other

Other2007 Agent Directed Simulation Symposium, ADS 2007
CountryUnited States
CityNorfolk
Period3/25/073/29/07

Keywords

  • Data engineering
  • Model persistent
  • Model transformation
  • System design
  • Visual modeling

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computational Theory and Mathematics
  • Computer Networks and Communications

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    Sarjoughian, H., & Flasher, R. (2007). System modeling with mixed object and data models. In Agent Directed Simulation Symposium, ADS 2007 - Proceedings of the 2007 Spring Simulation Multiconference, SpringSim 2007 (pp. 199-206). Association for Computing Machinery, Inc.