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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