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Beyond Control-Flow: Extending Business Process Configuration to Resources and Objects

La Rosa, Marcello and Dumas, Marlon and ter Hofstede, Arthur H.M. and Mendling, Jan and Gottschalk, Florian (2007) Beyond Control-Flow: Extending Business Process Configuration to Resources and Objects. (Unpublished)

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Abstract

A configurable process model is an integrated representation of multiple variants of a business process. It is designed to be individualized to meet a particular set of requirements. As such, configurable process models promote systematic reuse of proven or common practices. Existing notations for configurable process modeling focus on capturing tasks and control-flow dependencies, neglecting equally important aspects of business processes such as data flow, material flow and resource management. This paper fills this gap by proposing an integrated meta-model for configurable processes with advanced features for capturing resources involved in the performance of tasks (through task-role associations) as well as flow of data and physical artifacts (through task-object associations). Although embodied as an extension of a popular process modeling notation, namely EPC, the meta-model is defined in an abstract and formal manner to make it applicable to other notations.

ID Code:	11240
Item Type:	Report
Additional Information :	For more information, please refer to the journal’s website (see hypertext link) or contact the author.
Additional URLs :	http://www.bpm.fit.qut.edu.au/
Keywords :	Process model, configuration, resource, object flow
Subjects:	Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603) Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions:	QUT Faculties and Divisions > Faculty of Science and Technology Research Centres > ARC Centre of Excellence for Creative Industries and Innovation
Copyright Owner :	Copyright 2007 QUT
Deposited On:	18 Dec 2007
Last Modified:	23 Jan 2009 04:07

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