Type 2 Clone Detection On ASCET Models

Clones are a well-known bad smell pattern in software. So far, research has concentrated on detection of clones in textual languages, while model-based development becomes increasingly important. This is in particular true for the automotive domain, where modelling languages like ASCET are used. This paper presents the adaptation and extension of an existing approach for detection of clones in models. The main novelty is a graph analysis that can detect clones of type 2 (i. e., identical structure, but renamed elements) and distinguish between consistently and inconsistently renamed model elements.