Authors:
Jesús M. Perera Aracil
and
Diego Sevilla Ruiz
Affiliation:
University of Murcia, Spain
Keyword(s):
MDE, Model-to-model Transformation, Cloud, Ecore.
Related
Ontology
Subjects/Areas/Topics:
Methodologies, Processes and Platforms
;
Model Transformation
;
Model Transformations and Generative Approaches
;
Model-Driven Software Development
;
Modeling for the Cloud
;
Models
;
Paradigm Trends
;
Software Engineering
Abstract:
Model Driven Engineering (MDE) faces new challenges as models increase in size. These so called Very
Large Models (VLMs) introduce new challenges, as their size and complexity cause transformation languages
to have long execution times or even not being able to handle them due to memory issues. A new approach
should be proposed to solve these challenges, such as automatic parallelization or making use of big data
technologies, all of which should be transparent to the transformation developer. In this paper we present
CloudTL, a new transformation language whose engine is based on big data tools to deal with VLMs in an
efficient and scalable way, benchmarking it against the de facto standard, ATL.