Feature-oriented refinement of models, metamodels and model transformations

摘要

Done well, the blend of Model Driven Development (MDD) and Software Product Lines (SPL) offers a promising approach, mixing abstraction from MDD and variability from SPL. Although Model Driven Product Lines have flourished recently, the focus so far has been mostly on how to cope with the variability of models. This focus on model variability has limited however the extension of variability to further artifacts apart from models such as metamodels and model transformations, that may cope with variability too in a product line setting. In this paper, we address the application of feature-oriented refinement to models, metamodels and model transformations. We illustrate our work with a case study of an embedded system.