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Using Learning Techniques to Generate System Models for Online Testing

dc.contributor.authorWerner, Edith
dc.contributor.authorPolonski, Sergei
dc.contributor.authorGrabowski, Jens
dc.contributor.editorHegering, Heinz-Gerd
dc.contributor.editorLehmann, Axel
dc.contributor.editorOhlbach, Hans Jürgen
dc.contributor.editorScheideler, Christian
dc.date.accessioned2019-04-03T12:59:55Z
dc.date.available2019-04-03T12:59:55Z
dc.date.issued2008
dc.description.abstractToday’s software systems are mostly modular and have to be changeable. However, the testing of such systems becomes difficult, especially when changes are applied after deployment. One way to passively test such a system is to check whether the observed traces are accepted by a system model. In this paper, we present a method to generate a model of the System Under Test from its test cases. We adapt Angluin’s algorithm for learning finite automata to the special case of learning from traces ob- tained from test cases and provide the promising results of our experiment.en
dc.identifier.isbn978-3-88579-227-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21354
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofINFORMATIK 2008. Beherrschbare Systeme – dank Informatik. Band 1
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-133
dc.titleUsing Learning Techniques to Generate System Models for Online Testingen
dc.typeText/Conference Paper
gi.citation.endPage186
gi.citation.publisherPlaceBonn
gi.citation.startPage183
gi.conference.date8. -13. September 2008
gi.conference.locationMünchen
gi.conference.sessiontitleRegular Research Papers

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