Model-architecture oriented combat system effectiveness simulation

Yonglin Lei, Ning Zhu, Jian Yao, Zhi Zhu, Hessam Sarjoughian

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

5 Scopus citations

Abstract

Combat system effectiveness simulation (CESS) is a special type of complex system simulation. Three non-functional requirements (NFRs), i.e. Model composability, domain-specific modeling, and model evolvability are gaining higher priority from CESS users when evaluating different modeling methodologies for CESS. Traditional CESS modeling methodologies are either domain-neutral (lack of domain characteristics consideration and limited support for model composability) or domain-oriented (lack of openness and evolvability) and fall short of the three NFRs. Inspired by the concept of architecture in systems engineering and software engineering fields, we extend it into a concept of model architecture for complex simulation systems, and propose a model-architecture oriented modeling methodology in which model architecture plays a central role in achieving the three NFRs. Various model-driven engineering (MDE) approaches and technologies, including SMP, UML, DSM, and so forth, are applied where possible in representing the CESS model architecture and its components' behaviors from physical and cognitive domain aspects.

Original languageEnglish (US)
Title of host publication2015 Winter Simulation Conference, WSC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3190-3191
Number of pages2
ISBN (Electronic)9781467397438
DOIs
StatePublished - Feb 16 2016
EventWinter Simulation Conference, WSC 2015 - Huntington Beach, United States
Duration: Dec 6 2015Dec 9 2015

Publication series

NameProceedings - Winter Simulation Conference
Volume2016-February
ISSN (Print)0891-7736

Other

OtherWinter Simulation Conference, WSC 2015
Country/TerritoryUnited States
CityHuntington Beach
Period12/6/1512/9/15

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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