Authors:
Motoshi Saeki
1
and
Haruhiko Kaiya
2
Affiliations:
1
Tokyo Institute of Technology, Japan
;
2
Shinshu University, Japan
Keyword(s):
Metrics, Model Transformation, Graph Rewriting, Model Driven Development.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Cross-Feeding between Data and Software Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
MetaModeling
;
Model-Driven Engineering
;
Models
;
Paradigm Trends
;
Software Engineering
;
Software Engineering Methods and Techniques
;
Symbolic Systems
Abstract:
In a Model Driven Development context, in addition to the metrics of models themselves, the metrics of model transformation should be considered in order to measure its various characteristics such as quality. In this paper, we propose the technique to define the metrics of model transformation using a meta-modeling technique and a graph rewriting techniques. The meta-modeling technique is used for defining model-specific metrics, while graph rewriting rules formalize transformation. The values of model-specific metrics to be calculated are attached to graph rewriting rules, and can be evaluated and propagated between the models during the transformation. The evaluation and propagation methods can be defined within the graph rewriting rules, and their evaluation and propagation result in the metric values of the transformation. Furthermore the paper includes the example of transforming object models into relational database models in order to show the usefulness of our approach.