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A new reduction method for the analysis of large workflow models

dc.contributor.authorZerguini, Loucif
dc.contributor.authorHee, Kees Max van
dc.contributor.editorDesel, Jörg
dc.contributor.editorWeske, Mathias
dc.date.accessioned2019-11-14T12:47:28Z
dc.date.available2019-11-14T12:47:28Z
dc.date.issued2002
dc.description.abstractThis paper presents a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identification which preserves both soundness and completion time distribution. Moreover we outline an approach to model the dynamic behavior of business processes by exploiting the power of a class of non-Markovian stochastic Petri net models.en
dc.identifier.isbn3-88579-350-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/30167
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofPromise 2002 – Prozessorientierte Methoden und Werkzeuge für die Entwicklung von Informationssystemen
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-21
dc.titleA new reduction method for the analysis of large workflow modelsen
dc.typeText/Conference Paper
gi.citation.endPage201
gi.citation.publisherPlaceBonn
gi.citation.startPage188
gi.conference.date9.-11. Oktober 2002
gi.conference.locationPotsdam
gi.conference.sessiontitleRegular Research Papers

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