Adopting the cognitive complexity measure for business process models

被引：32
|
作者：
Gruhn, Volker [1 ]
Laue, Ralf [1 ]
机构：
[1] Univ Leipzig, Chair Appl Telemat eBusiness, Leipzig, Germany
来源：
PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, VOLS 1 AND 2 | 2006年
关键词：
cognitive complexity; complexity metrics; business process models;
D O I：
10.1109/COGINF.2006.365702
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Business process models, often modelled using graphical languages like UML, serve as a base for communication between the stakeholders in the software development process. To fulfill this purpose, they should be easy to understand and easy to maintain. For this reason, it is useful to have measures that can give us some information about understandability, analyzability and maintainability of a business process model. Shao and Wang have proposed a cognitive complexity measure[19]. It can be used to estimate the comprehension effort for understanding software. This paper discusses how these research results can be extended in order to analyze the cognitive complexity of graphical business process models.
引用
收藏
页码：236 / 241
页数：6
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