A Solution to the FIXML Case Study Using Triple Graph Grammars and eMoflon

Triple Graph Grammars (TGGs) are a bidirectional model transformation language, which has been successfully used in different application scenarios over the years. Our solution for the FIXML case study of the Transformation Tool Contest (TTC 2014) is implemented using TGGs and eMoflon (www.emoflon.org), a meta-modelling and model transformation tool developed at the Real-Time Systems Lab of TU Darmstadt. The solution, available as a virtual machine hosted on Share [5], includes the following: (i) an XML parser to a generic tree model called MocaTree (already a built-in feature of eMoflon), (ii) a target meta-model specification, (iii) TGG rules describing a bidirectional transformation between MocaTree and the target meta-model, and (iv) a StringTemplate-based (www.stringtemplate.org) code generator for Java, C# and C++.