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Authors: Georg Hinkel 1 and Misha Strittmatter 2

Affiliations: 1 FZI Research Center of Information Technologies, Germany ; 2 Software Design & Quality Group, Germany

ISBN: 978-989-758-283-7

Keyword(s): Metamodel, Modularity, Metric.

Related Ontology Subjects/Areas/Topics: Domain-Specific Modeling and Domain-Specific Languages ; Languages, Tools and Architectures ; MetaModeling ; Model-Driven Software Development ; Models ; Paradigm Trends ; Software Engineering

Abstract: As model-driven engineering (MDE) gets applied for the development of larger systems, the quality assurance of model-driven artifacts becomes more important. Here, metamodels are particularly important as many other artifacts depend on them. However, existing metrics have been rarely validated for metamodels or, even more, evaluation results disproved a correlation between these existing metrics and perceived metamodel modularity. In this paper, we present a new entropy-based metric to capture the perception of metamodel modularity and evaluate the metric in multiple case studies. In the case studies, we correlate the metric results of 32 metamodels across three different domains with 164 responses of a quality assessment questionnaire for which we collected responses in two empirical experiments. The results show significant and strong correlations in all three domains between the metric results and the perceived metamodel modularity.

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Paper citation in several formats:
Hinkel, G. and Strittmatter, M. (2018). Predicting the Perceived Modularity of MOF-based Metamodels.In Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-283-7, pages 48-58. DOI: 10.5220/0006539300480058

@conference{modelsward18,
author={Georg Hinkel. and Misha Strittmatter.},
title={Predicting the Perceived Modularity of MOF-based Metamodels},
booktitle={Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2018},
pages={48-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006539300480058},
isbn={978-989-758-283-7},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Predicting the Perceived Modularity of MOF-based Metamodels
SN - 978-989-758-283-7
AU - Hinkel, G.
AU - Strittmatter, M.
PY - 2018
SP - 48
EP - 58
DO - 10.5220/0006539300480058

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