Platform independent model transformation based on triple

Reuse is an important topic in software engineering as it promises advantages like faster time-to-market and cost reduction. Reuse of models on an abstract level is more beneficial than on the code level, because these models can be mapped into several technologies and can be adapted according to different requirements. Unfortunately, development tools only provide fixed mappings between abstract models described in a language such as UML and source code for a particular technology. These mappings are based on one-to-one relationships between elements of both levels. As a consequence, it is rarely possible to customize mappings according to specific user requirements.We aim to improve model reuse by providing a framework that generates customized mappings according to specified requirements. The framework is able to handle mappings aimed for several component technologies as it is based on an ADL. It is realized in Triple to represent components on different levels of abstraction and to perform the actual transformation. It uses feature models to describe mapping alternatives.