Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


Software Engineering 2013 P-213, 225-238 (2013).

Gesellschaft für Informatik, Bonn
2013


Copyright © Gesellschaft für Informatik, Bonn

Contents

Statistical analysis of changes for synthesizing realistic test models

Hamed Shariat Yazdi , Pit Pietsch , Timo Kehrer and Udo Kelter

Abstract


Tools and methods in the context of Model-Driven Engineering have to be evaluated and tested. Unfortunately, adequate test models are scarcely available in many application domains, and available models often lack required properties. Test model generators have been proposed recently to overcome this deficiency. Their basic principle is to synthesize test models by controlled application of edit operations from a given set of edit operation definitions. If test models are created by randomly selecting edit operations, then they become quite unnatural and do not exhibit realworld characteristics; generated sequences of edit operation should rather be similar to realistic model evolution. To this end, we have reverse-engineered a carefully selected set of open-source Java projects to class diagrams and computed the differences between subsequent revisions in terms of various edit operations, including generic low-level graph edit operations and high-level edit operations such as model refactorings. Finally, we statistically analyzed the distribution of the frequency of these edit operations. We have checked the fitness of 60 distributions in order to correctly represent the statistical properties. Only four distributions have been able to adequately describe the observed evolution. The successful distributions are being used to configure our model generator in order to produce more realistic test models.


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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-607-7


Last changed 20.02.2014 13:02:21