Measuring Complexity of Business Process Models Integrated with Rules

被引：13

作者：

Kluza, Krzysztof ^{[1
]}

机构：

[1] AGH Univ Sci & Technol, PL-30059 Krakow, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II (ICAISC 2015) | 2015年 / 9120卷

关键词：

PROPOSAL; VERIFICATION; METRICS;

D O I：

10.1007/978-3-319-19369-4_57

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Complexity assessment is often used in software and knowledge engineering for controlling the quality and improving models. In fact, complexity is one of the main factors affecting the understability and maintainability of models. Although there are many complexity measures that can be used in order to assess the complexity of process models or rule bases, the complexity of the integrated model of processes with rules is not addressed and constitutes a challenging issue. In this paper, we consider a new metric that is suitable for measuring the integrated models and present a short evaluation based on the selected cases of different size.

引用

页码：649 / 659

页数：11

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