INVESTIGADORES
BOLLATI VerÓnica Andrea
artículos
Título:
MeTAGeM-Trace: Improving trace generation in model transformation by leveraging the role of transformation models
Autor/es:
ÁLVARO JIMÉNEZ RIELO; JUAN MANUEL VARA; VERÓNICA A. BOLLATI; ESPERANZA MARCOS MARTINEZ
Revista:
SCIENCE OF COMPUTER PROGRAMMING
Editorial:
ELSEVIER SCIENCE BV
Referencias:
Lugar: Amsterdam; Año: 2015 vol. 3
ISSN:
0167-6423
Resumen:
In the context of Model-Driven Engineering (MDE), generation of traces can be automated using the implicit traceability relationships contained in any model transformation. Besides, if transformations are developed adopting a Model-Driven Engineering (MDE) approach, i.e. promoting the role of models and the level of automation, model transformation will benefit from the promised advantages of MDE in terms of less costly software development while reducing the inherent complexity of coding model transformations. To put these ideas into practice, this work introduces MeTAGeM-Trace, the first prototype of an EMF-based toolkit for the MDD of model-to-model transformations which supports trace generation, i.e. it allows developing model transformations that produce not only the corresponding target models, but also a trace model between the elements of the source and target models involved in the transformation.