Find logical errors in model transformations by means of applying symbolic execution methods.
None of us enjoys wasting time aligning HTML/CSS elements. A tool able to take our rough handmade sketches and transform them into actual UI code is almost a dream come true. Let’s see how close we are to this goal.
Are you using model transformation languages to manipulate your models? If not, why? Should we just get rid of all transformation languages and use plain Java?. Participate in this discussion about the future of model transformations.
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Short-Term Memory Neural Networks (LSTM), to automatically infer model transformations from sets of input-output model pairs.
We automate the creation of performance models out of standard design models. Such performance models can be automatically solved to evaluate performance aspects early in the development process
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