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Semi-automatic Generation of Metamodels from Model Sketches


Wüest, Dustin; Seyff, Norbert; Glinz, Martin (2013). Semi-automatic Generation of Metamodels from Model Sketches. In: IEEE/ACM International Conference on Automated Software Engineering, Silicon Valley, California, 11 November 2013 - 15 November 2013, 664-669.

Abstract

Abstract—Traditionally, metamodeling is an upfront activity performed by experts for defining modeling languages. Modeling tools then typically restrict modelers to using only constructs de-fined in the metamodel. This is inappropriate when users want to sketch graphical models without any restrictions and only later assign meanings to the sketched elements. Upfront metamodeling also complicates the creation of domain-specific languages, as it requires experts with both domain and metamodeling expertise. In this paper we present a new approach that supports model-ers in creating metamodels for diagrams they have sketched or are currently sketching. Metamodels are defined in a semi-automatic, interactive way by annotating diagram elements and automated model analysis. Our approach requires no metamodel-ing expertise and supports the co-evolution of models and meta-models.

Abstract

Abstract—Traditionally, metamodeling is an upfront activity performed by experts for defining modeling languages. Modeling tools then typically restrict modelers to using only constructs de-fined in the metamodel. This is inappropriate when users want to sketch graphical models without any restrictions and only later assign meanings to the sketched elements. Upfront metamodeling also complicates the creation of domain-specific languages, as it requires experts with both domain and metamodeling expertise. In this paper we present a new approach that supports model-ers in creating metamodels for diagrams they have sketched or are currently sketching. Metamodels are defined in a semi-automatic, interactive way by annotating diagram elements and automated model analysis. Our approach requires no metamodel-ing expertise and supports the co-evolution of models and meta-models.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:15 November 2013
Deposited On:28 Jan 2014 16:03
Last Modified:03 Aug 2018 09:04
Publisher:IEEE
OA Status:Green
Publisher DOI:https://doi.org/10.1109/ASE.2013.6693130
Related URLs:http://ase2013.org/
Other Identification Number:merlin-id:8935

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