Analysis of a metamodel to estimate complexity of using a domain-specific language

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

3 Citations (Scopus)

Abstract

This paper considers the complexity of building models by analyzing the structure of the metamodel that defines a domain-specific modeling language. An algorithm is presented that generates a state model to produce at least one instance of every model in the metamodel, and the complexity of that state model provides insight into the complexity of the modeling language.

Original languageEnglish (US)
Title of host publicationProceedings of the 10th Workshop on Domain-Specific Modeling, DSM'10
DOIs
StatePublished - 2010
Event10th Workshop on Domain-Specific Modeling, DSM'10 - Reno, NV, United States
Duration: Oct 17 2010Oct 18 2010

Other

Other10th Workshop on Domain-Specific Modeling, DSM'10
CountryUnited States
CityReno, NV
Period10/17/1010/18/10

Fingerprint

Domain-specific Languages
Metamodel
Modeling Language
Estimate
Model
Modeling languages

Keywords

  • Metamodel
  • Metric
  • Usability
  • User interface

ASJC Scopus subject areas

  • Modeling and Simulation

Cite this

Sprinkle, J. (2010). Analysis of a metamodel to estimate complexity of using a domain-specific language. In Proceedings of the 10th Workshop on Domain-Specific Modeling, DSM'10 [a13] https://doi.org/10.1145/2060329.2060359

Analysis of a metamodel to estimate complexity of using a domain-specific language. / Sprinkle, Jonathan.

Proceedings of the 10th Workshop on Domain-Specific Modeling, DSM'10. 2010. a13.

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

Sprinkle, J 2010, Analysis of a metamodel to estimate complexity of using a domain-specific language. in Proceedings of the 10th Workshop on Domain-Specific Modeling, DSM'10., a13, 10th Workshop on Domain-Specific Modeling, DSM'10, Reno, NV, United States, 10/17/10. https://doi.org/10.1145/2060329.2060359
Sprinkle, Jonathan. / Analysis of a metamodel to estimate complexity of using a domain-specific language. Proceedings of the 10th Workshop on Domain-Specific Modeling, DSM'10. 2010.
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