Authors:
Georg Hinkel
1
and
Misha Strittmatter
2
Affiliations:
1
FZI Research Center of Information Technologies, Germany
;
2
Karlsruhe Institute of Technology, Germany
Keyword(s):
Metamodel, Modularity, Metric.
Related
Ontology
Subjects/Areas/Topics:
Languages, Tools and Architectures
;
MetaModeling
;
Model-Driven Software Development
;
Models
;
Paradigm Trends
;
Reasoning about Models
;
Software Engineering
Abstract:
As model-driven engineering (MDE) gets applied for the development of larger systems, the quality assurance
of model-driven artifacts gets more important. Here, metamodels are particularly important as many other
artifacts depend on them. Existing approaches to measure the modularity of metamodels have not been validated
for metamodels thoroughly. In this paper, we evaluate the usage of the metrics suggested by Sarkar et
al. to automatically measure the modularity of metamodels with the goal of automated quality improvements.
For this, we analyze the data from a previous controlled experiment on the perception of metamodel quality
with 24 participants, including both students and academic professionals. From the results, we were able to
statistically disprove even a slight correlation with perceived metamodel quality.