2010Unpublished venueRequires access

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

Jonathan Sprinkle

Open publisher page 4 citations

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Metamodeling, Computer science, Modeling language, Domain (mathematical analysis), Domain-specific language, Domain model, Domain analysis, State (computer science)

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