Variability modelling with feature models is one key technique for specifying the problem space of Software Product Lines (SPLs). To allow for the automatic derivation of a concrete product based on a given variant configuration, a mapping between features in the problem space and their realisations in the solution space is required. It is crucial to support the developer in the complex task of defining such mappings. These mappings can also be used to provide visualisations of the variant space that allow to reason over variability in SPLs. In this paper we present FeatureMapper, a tool that allows for defining mappings of features to model elements specifying feature realisations. These feature realisations can be defined in arbitrary Ecore-based languages. Furthermore, the tool supports different visualisation techniques that can help developers understand the complex designs of SPLs.
Model transformations are at the heart of Model-Driven Software Development (MDSD) and, once composed in transformation chains to MDSD processes, allow for the development of complex systems and their automated derivation. While there already exist various approaches to specify and execute such MDSD processes, only few of them draw focus on ensuring the validity of the transformation chains, and thus, safe composition of transformations. In this paper, we present the TraCo composition system, which overcomes these limitations and evaluate and discuss the approach based on two case studies.
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