A new reduction method for the analysis of large workflow models

dc.contributor.author	Zerguini, Loucif
dc.contributor.author	Hee, Kees Max van
dc.contributor.editor	Desel, Jörg
dc.contributor.editor	Weske, Mathias
dc.date.accessioned	2019-11-14T12:47:28Z
dc.date.available	2019-11-14T12:47:28Z
dc.date.issued	2002
dc.description.abstract	This 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.isbn	3-88579-350-4
dc.identifier.pissn	1617-5468
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/30167
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Promise 2002 – Prozessorientierte Methoden und Werkzeuge für die Entwicklung von Informationssystemen
dc.relation.ispartofseries	Lecture Notes in Informatics (LNI) - Proceedings, Volume P-21
dc.title	A new reduction method for the analysis of large workflow models	en
dc.type	Text/Conference Paper
gi.citation.endPage	201
gi.citation.publisherPlace	Bonn
gi.citation.startPage	188
gi.conference.date	9.-11. Oktober 2002
gi.conference.location	Potsdam
gi.conference.sessiontitle	Regular Research Papers

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