Exploring Visual Comparison of Multivariate Runtime Statistics

dc.contributor.author	Tarner, Hagen
dc.contributor.author	Frick, Veit
dc.contributor.author	Pinzger, Martin
dc.contributor.author	Beck, Fabian
dc.contributor.editor	Kelter, Udo
dc.date.accessioned	2023-02-27T13:46:44Z
dc.date.available	2023-02-27T13:46:44Z
dc.date.issued	2019
dc.description.abstract	To 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.	en
dc.identifier.pissn	0720-8928
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/40470
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Softwaretechnik-Trends Band 39, Heft 3
dc.relation.ispartofseries	Softwaretechnik-Trends
dc.subject	runtime statistics
dc.subject	performance
dc.subject	visualization
dc.title	Exploring Visual Comparison of Multivariate Runtime Statistics	en
dc.type	Text/Conference Paper
gi.citation.endPage	63
gi.citation.publisherPlace	Bonn
gi.citation.startPage	61
gi.conference.date	8.-9. November 2018
gi.conference.location	Hildesheim
gi.conference.sessiontitle	9th Symposium on Software Performance (SSP 2018)

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