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  1. Proceedings of the 6th International Workshop on Modeling in Software Engineering (MiSE 2014)
  2. Mining metrics for understanding metamodel characteristics
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Mining metrics for understanding metamodel characteristics

Content Provider ACM Digital Library
Author Iovino, Ludovico Di Ruscio, Davide Di Rocco, Juri Pierantonio, Alfonso
Abstract Metamodels are a key concept in Model-Driven Engineering. Any artifact in a modeling ecosystem has to be defined in accordance to a metamodel prescribing its main qualities. Hence, understanding common characteristics of metamodels, how they evolve over time, and what is the impact of metamodel changes throughout the modeling ecosystem is of great relevance. Similarly to software, metrics can be used to obtain objective, transparent, and reproducible measurements on metamodels too. In this paper, we present an approach to understand structural characteristics of metamodels. A number of metrics are used to quantify and measure metamodels and cross-link different aspects in order to provide additional information about how metamodel characteristics are related. The approach is applied on repositories consisting of more than 450 metamodels. .
Starting Page 55
Ending Page 60
Page Count 6
File Format PDF
ISBN 9781450328494
DOI 10.1145/2593770.2593774
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-06-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Metamodel metrics Metamodeling Model driven engineering
Content Type Text
Resource Type Article
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