Tarner, HagenFrick, VeitPinzger, MartinBeck, FabianKelter, Udo2023-02-272023-02-272019https://dl.gi.de/handle/20.500.12116/40470To understand program behavior or find performance bottlenecks in their software, developers need tools to efficiently compare runtime statistics collected across multiple executions. As there is a variety of useful metrics, a good visualization needs to be able to handle multivariate data and highlight the most important differences between multiple versions. We identify three scenarios for the comparison of execution-relevant changes, and explore possible visualizations of the gathered multivariate runtime statistics.enruntime statisticsperformancevisualizationText/Conference Paper0720-8928