DocumentCode :
3391401
Title :
Reducing the cognitive complexity of business process models
Author :
Gruhn, Volker ; Laue, Ralf
Author_Institution :
Univ. of Leipzig, Leipzig, Germany
fYear :
2009
fDate :
15-17 June 2009
Firstpage :
339
Lastpage :
345
Abstract :
Current research on the quality of business process models mostly discusses the quality of a model mainly in terms of correctness of its behaviour. In this paper, we discuss another perspective: Because the main purpose of business process models is to be read and understood by humans, understandability is an important requirement. We present some patterns for improving the understandability by reducing the cognitive load. By applying these patterns to a repository of almost 1000 models, we have been able to improve the comprehensibility of several models.
Keywords :
business data processing; business process models; cognitive complexity reduction; Bridges; Business communication; Humans; Information analysis; Management information systems; Programming; Shape; Software development management; Telematics; Terminology; business process models; cognitive complexity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
Type :
conf
DOI :
10.1109/COGINF.2009.5250717
Filename :
5250717
Link To Document :
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