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Exploring software variance with hypermodelling – an exemplary approach

dc.contributor.authorFrey, Tim
dc.contributor.authorKöppen, Veit
dc.contributor.editorJähnichen, Stefan
dc.contributor.editorRumpe, Bernhard
dc.contributor.editorSchlingloff, Holger
dc.date.accessioned2018-11-19T13:30:02Z
dc.date.available2018-11-19T13:30:02Z
dc.date.issued2012
dc.description.abstractFramework manufacturers face the challenge to determine which parts of frameworks are used and varied. Application developers want to know on which framework elements their application is depending. Currently, programs need to be parsed to extract information about framework usage what consumes time and effort and makes information mining inflexible. Hypermodelling utilizes Data Warehouse technologies for source code investigations to overcome the current limitations. In this paper, we demonstrate that Hypermodelling is suitable to explore software variance. We present reports based on real application data of one project example to reveal multiple facts about the software variance. We show visualizations at different granularity levels. This supports our theory that Hypermodelling can be used to explore software variance in an easy way.en
dc.identifier.isbn978-3-88579-293-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18380
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2012. Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-199
dc.titleExploring software variance with hypermodelling – an exemplary approachen
dc.typeText/Conference Paper
gi.citation.endPage136
gi.citation.publisherPlaceBonn
gi.citation.startPage121
gi.conference.date27. Februar - 2. März 2012
gi.conference.locationBerlin
gi.conference.sessiontitleRegular Research Papers

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