Semantic Business Process Analysis

Becker J, Falk T, Pfeiffer D, Räckers M


Abstract
The objective of this chapter is to describe and evaluate an approach for the automated analysis of business process models. It is described why an automated way of process analysis is necessary and why it is beneficial to use our approach. As business process models are moving in the center of decision making, it is important for the corresponding decision makers to get transparent, fast, and comprehensive results of process analysis. Dealing with huge amount of data this is only possible with automated support. Based on a comprehensive literature study, we identified different deviations and conflicts that usually arise in business process modeling projects. The class of semantic building block-based languages which combines structural modeling elements with corresponding domain semantics can help avoiding these conflicts. Beside the conceptual development of the language class we conducted an empirical evaluation of PICTURE, a business process modeling language that is an instantiation of semantic building block-based languages. Our results show that (a) our derived language class is applicable, (b) modeling conflicts significantly can be reduced, and (c) modeled data can be analyzed automatically.



Publication type
Chapter in Book

Peer reviewed
Yes

Publication status
Published

Year
2010

Book title
International Handbook on Business Process Management 1 - Introduction, Methods, and Information Systems

Editor
Jan vom Brocke, Michael Rosemann

Pages range
187-211

Title of series
International Handbooks on Information Systems

Publisher
Springer

Place
Berlin Heidelberg

Language
English

ISBN
978-3-642-00416-2

DOI