New YAWL: specifying a workflow reference language using coloured petri nets

N.C. Russell, A.H.M. Hofstede, ter, W.M.P. Aalst, van der

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

newYAWL is a business process modelling language founded on the workow patterns. It radically extends the YAWL offering to provide holistic support for the controlflow, data and resource perspectives and allows business processes to be captured in sucient detail that they can be directly enacted. In order to ensure that business processes are executed in a deterministic way, newYAWL is based on formal foundations. This paper describes the approach taken to specifying the operational semantics for newYAWL based on Coloured Petri Nets. It discusses the development of the semantic model for newYAWL, which was undertaken using CPN Tools, and the experiences associated with developing a complete operational design for an offering of this scale using formal techniques.
Original languageEnglish
Title of host publicationProceedings of the 8th Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, 22-24 October 2007, Aarhus, Denmark
EditorsK. Jensen
Place of PublicationAarhus
PublisherDepartment of Computer Science
Pages107-126
Publication statusPublished - 2007
Event8th Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools (CPN '07), October 22-24, 2007, Aarhus, Denmark - Aarhus, Denmark
Duration: 22 Oct 200724 Oct 2007
http://daimi.au.dk/CPnets/proxy.php?url=/CPnets/workshop07/index

Publication series

NameDAIMI PB
Volume584
ISSN (Print)0105-8517

Workshop

Workshop8th Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools (CPN '07), October 22-24, 2007, Aarhus, Denmark
Abbreviated titleCPN '07
Country/TerritoryDenmark
CityAarhus
Period22/10/0724/10/07
Internet address

Fingerprint

Dive into the research topics of 'New YAWL: specifying a workflow reference language using coloured petri nets'. Together they form a unique fingerprint.

Cite this