Reducing the Cognitive Complexity of Business Process Models

被引：18
|
作者：
Gruhn, Volker [1 ]
Laue, Ralf [1 ]
机构：
[1] Univ Leipzig, Leipzig, Germany
来源：
PROCEEDINGS OF THE 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS | 2009年
关键词：
cognitive complexity; business process models; IMPACT;
D O I：
10.1109/COGINF.2009.5250717
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：339 / 345
页数：7
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