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Automated Test Case Selection Based on a Similarity Function

dc.contributor.authorCartaxo, Emanuela G.
dc.contributor.authorNeto, Francisco G. O.
dc.contributor.authorMachado, Patrícia D. L.
dc.contributor.editorHerzog, Otthein
dc.contributor.editorRödiger, Karl-Heinz
dc.contributor.editorRonthaler, Marc
dc.contributor.editorKoschke, Rainer
dc.date.accessioned2019-05-15T09:05:02Z
dc.date.available2019-05-15T09:05:02Z
dc.date.issued2007
dc.description.abstractA strategy for automatic test case selection based on the use of a similarity function is presented. Test case selection is a crucial activity to model-based testing since the number of automatically generated test cases is usually enormous and possibly unfeasible. Also, a considerable number of test cases are redundant, that is, they exercise similar features of the application and/or are capable of uncovering a similar set of faults. The strategy is aimed at selecting the less similar test cases while providing the best possible coverage of the functional model from which test cases are generated.en
dc.identifier.isbn978-3-88579-206-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22511
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofInformatik 2007 – Informatik trifft Logistik – Band 2
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-110
dc.titleAutomated Test Case Selection Based on a Similarity Functionen
dc.typeText/Conference Paper
gi.citation.endPage386
gi.citation.publisherPlaceBonn
gi.citation.startPage381
gi.conference.date24.-27. September 2007
gi.conference.locationBremen
gi.conference.sessiontitleRegular Research Papers

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