Section: New Results

MDE Scalability

As Model-Driven Engineering (MDE) is increasingly applied to larger and more complex systems, additional research and development is imperative in order to enable MDE to remain relevant with industrial practice. In [31] we attempt to provide a research roadmap for scalability in MDE and outline directions for work in this emerging research area. As a first result in this roadmap, in [37] we show that rule-based languages like ATL have strong parallelization properties. Parallelization is indeed one of the traditional ways of making computation systems scalable. We describe the implementation of a parallel transformation engine for the current version of the ATL language and experimentally evaluate the consequent gain in scalability. Finally in [28] we compare the improved scalability of the ATL transformation engine with other engines in the community by addressing the task of generating and analyzing very large flow graphs.