Tool support for multi-amalgamated triple graph grammars

Abstract

We present in this paper our tool support with eMoflon (www.emoflon.org) to incorporate the concept of multi-amalgamation into Triple Graph Grammars (TGGs). Multi-amalgamation provides a mechanism similar to a foreach loop for graph transformation rules by consolidating multiple applications of rules depending on how many rule applications are available at transformation time. TGGs are a well-known technique used to specify bidirectional model transformation, where consistency is described via triple rules that build up source, target, and correspondence models simultaneously. Combining both techniques in eMoflon yields a TGG implementation that can handle bidirectional consistency relations between source and target elements, whose number is unknown at design time and can only be determined at transformation time. Our goal with this extension is to tackle transformation scenarios that are currently beyond the capabilities of classical TGGs.