A GENERIC METRIC FOR MEASURING COMPLEXITY OF MODELS

被引：0

作者：

Schalles, Christian ^{[1
]}

Creagh, John ^{[1
]}

Rebstock, Michael ^{[2
]}

机构：

[1] Cork Inst Technol, Dept Comp, Rossa Ave, Cork, Ireland

[2] Hsch Darmstadt Univ Appl Sci, Fac Econ & Business Adm, D-64295 Darmstadt, Germany

来源：

ICEIS 2010: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 3: INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION | 2010年

关键词：

Modelling; Complexity; Modelling Methods;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent years, various object and process oriented modelling methods were developed to support the process of modelling in enterprises. When applying these methods, graphical models are generated and used to depict various aspects of enterprise architectures. Concerning this, surveys analyzing modelling languages in different ways were conducted. In many cases these surveys include experimental data collection methods. At this juncture the complexity of concrete models often affects output of these studies. To ensure complexity value comparability of different models, a generic metric for measuring complexity of models is proposed.

引用

页码：436 / 439

页数：4

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