Visualizing Dynamic Call Graphs

dc.contributor.authorBurch, Michaelen_US
dc.contributor.authorMüller, Christophen_US
dc.contributor.authorReina, Guidoen_US
dc.contributor.authorSchmauder, Hansjoergen_US
dc.contributor.authorGreis, Miriamen_US
dc.contributor.authorWeiskopf, Danielen_US
dc.contributor.editorMichael Goesele and Thorsten Grosch and Holger Theisel and Klaus Toennies and Bernhard Preimen_US
dc.date.accessioned2013-11-08T10:35:42Z
dc.date.available2013-11-08T10:35:42Z
dc.date.issued2012en_US
dc.description.abstractVisualizing time-varying call graphs is challenging due to vast amounts of data at many dimensions to be displayed: Hierarchically organized vertices with attributes, directed or undirected edges with weights, and time. In this paper, we introduce a novel overview representation that shows dynamic graphs as a timeline- and pixelbased aggregated view targeting the preservation of a viewer's mental map by encoding the time-varying data into a static diagram. This view allows comparisons of dynamic call graphs on different levels of hierarchical granularity. Our data extraction and visualization system uses this overview as a starting point for further investigations by applying existing dynamic graph visualization techniques that show the graph structures and properties more clearly. These more task-specific visualizations show the dynamic graph data from different perspectives such as curved node-link diagrams or glyph-based representations combined by linking and brushing. Intermediate analysis steps can be stored and rebuilt at any time by using corresponding thumbnail representations.en_US
dc.description.seriesinformationVision, Modeling and Visualizationen_US
dc.identifier.isbn978-3-905673-95-1en_US
dc.identifier.urihttps://doi.org/10.2312/PE/VMV/VMV12/207-214en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectE.1 [Data]en_US
dc.subjectData Structuresen_US
dc.subjectGraphs and Networksen_US
dc.titleVisualizing Dynamic Call Graphsen_US
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