Summary of our contributions towards a scalable query and transformation modeling framework able to handle very large models
Overcome the limitations of executing model transformations on large models by distributing them on top of a mapreduce infrastructure. We've done it for ATL. Read the full details on this paper accepted in the Journal of Systems and Software
IDEs for model transformation languages are still rudimentary compared to IDEs of languages like Java o C. AnATLyzer has been created to fill this gap and provide some advanced IDE features for ATL.
Gremlin-ATL is a scalable and efficient model-to-model transformation framework that translates ATL transformations into Gremlin, a query language supported by several NoSQL databases
Have you ever thought about using model transformations to specify and enforce access-control policies? Check how we do it
We propose a data distribution algorithm for declarative model transformation based on static analysis of relational transformation rules.
fREX is an open framework for reverse engineering of executable behaviors from existing software code bases (currently Java is supported) using fUML as a pivot language
Is ATL as good as it seems? Or still has some major problems to overcome? And other languages as well? Have your saying! E.g. I miss a live coding environment!
Javier Criado summarizes our work “Enabling the reuse of stored model transformations through annotations” by Javier
Ever thought about developing a parser for ATL? Well, they did and now explain how and why.
The easiest way to call ATL transformations from a Java class. Unleash the power of the ATL engine outside of its eclipse-plugin capsule
Dennis Wagelaar (a committer for the Eclipse ATL project, among many other things) has just published