A Survey on the Relevance of the Performance of Model Transformations

Abstract

1 Overview There are a number of techniques for analyzing and improving the performance of programs written in a general-purpose language. For model transformation languages such techniques are still unknown. These are domain-speci c languages, which, simply said, are used to update models or create new models. Thus, these languages realize important operations in the context of Model-Driven Development. Current research about the performance of transformations is strongly focused on the transformation engine, which executes the transformations. Consequently, we conducted an online survey to examine whether techniques for analyzing and improving the performance of transformations are needed. Overall, our data set consists the results of the online survey and the information necessary to repeat the survey. The questionnaire was fully answered by 84 participants.