Domain Specific MetaModeling for Deep Semantic Composability

Zhi Zhu, Yonglin Lei, Abdurrahman Alshareef, Hessam Sarjoughian, Yifan Zhu

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Current simulation models are not only represented in the form of traditional data or formula for pure theory analysis but expanded to be simulation modeling assets that are featured with complicated structure, diverse behaviors, and abundant semantics. Semantic composability, therefore, receives a constantly growing attention in recent years. So far, one of the popular solutions to enhance semantic expressiveness is domain specific modeling based on general metamodeling (GMM) facilities. But for some particular domains, researchers identified the need of deeper semantic expressiveness therefore proposed domain specific metamodeling (DSMM). Hence, this paper aims to explore the underlying methodologies of DSMM for supporting deep semantic composability. Compared with several usual alternatives based on GMM, this paper applies the multi-level metamodeling architecture to create a set of metamodeling primitives using an example named SEvent. In fact, SEvent is a novel formalism that slightly extends Petri net to support continuous states transition and continuous event triggering. As a proof of concept, we concentrate on developing the textual syntax of SEvent and using it to represent torpedo's behaviors.

Original languageEnglish (US)
Pages (from-to)18276-18289
Number of pages14
JournalIEEE Access
Volume6
DOIs
StatePublished - Jan 1 2018

Keywords

  • composability
  • DSL
  • metamodeling
  • semantics

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Fingerprint Dive into the research topics of 'Domain Specific MetaModeling for Deep Semantic Composability'. Together they form a unique fingerprint.

  • Cite this