Graph-Based Analysis and Visualization of Software Traces

dc.contributor.author	Müller, Richard
dc.contributor.author	Fischer, Matteo
dc.contributor.editor	Kelter, Udo
dc.date.accessioned	2023-02-27T13:59:24Z
dc.date.available	2023-02-27T13:59:24Z
dc.date.issued	2019
dc.description.abstract	Graphs are a suitable representation of software artifacts’ data created during development and maintenance activities. Software traces monitored with Kieker are one example of such data. We present a jQAssistant plugin that scans event-based Kieker traces and stores them in a Neo4j graph database. This opens up new possibilities for analyzing and visualizing these traces with respect to application performance monitoring and architecture discovery. We illustrate the feasibility and usefulness of the plugin with the Bookstore application example.	en
dc.identifier.pissn	0720-8928
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/40480
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Softwaretechnik-Trends Band 39, Heft 4
dc.relation.ispartofseries	Softwaretechnik-Trends
dc.subject	software trace
dc.subject	graph
dc.subject	visualization
dc.subject	performance
dc.subject	monitoring
dc.subject	architecture discovery
dc.title	Graph-Based Analysis and Visualization of Software Traces	en
dc.type	Text/Conference Paper
gi.citation.endPage	28
gi.citation.publisherPlace	Bonn
gi.citation.startPage	26
gi.conference.date	5.-6. November 2019
gi.conference.location	Würzburg
gi.conference.sessiontitle	10th Symposium on Software Performance (SSP)

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