Supplementary Material: Effectiveness of Performance Visualizations for Declarative Model Transformations

<p>We performed a case study to evaluate whether our performance visualizations developed for the declarative transformation language Henshin are suitable for performing a root cause analysis. Our study consisted of four parts. 1) Participants completed a questionnaire that collected data on their demographics and knowledge of model transformations. 2) The participants watched a video explaining the basics of models, Henshin, and our performance visualizations. 3) The study participants solved four different tasks one after the other. Guided by a questionnaire, they carried out a root cause analysis. 4) Finally, in a short interview session, we asked the participants about their assessment of the comprehensibility and usefulness of the visualizations.</p> <p>In total, 18 participants took part in our study. Our results show that most participants could correctly read and interpret the information provided by the visualizations. The majority of our participants could propose a performance optimization based on the visualizations that optimized the execution of a transformation.</p> <p>This data set contains our study material, which is necessary to repeat the study, our raw and processed data.</p>