Graph transformation has a well-established theory and associated tools that can be used to perform model transformations. However, the lack of a construct to match and transform collections of similar subgraphs makes graph transformation complex or even impractical to use in a number of transformation cases. This is addressed in this paper, by defining a collection operator which is powerful, yet fairly simple to model and understand. We present model transformation examples from different modeling domains to illustrate the benefit of the approach. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Grønmo, R., Krogdahl, S., & Møller-Pedersen, B. (2009). Theory and Practice of Model Transformations. (R. F. Paige, Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5563, pp. 67–82). Berlin, Heidelberg: Springer Berlin Heidelberg. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-70350639335&partnerID=tZOtx3y1
Mendeley helps you to discover research relevant for your work.