关键词: 构件识别, 模糊形式概念分析, 图熵, 内聚耦合, 物资管理

Abstract:

In recent years, business operations and processes of enterprises have become more and more complicated, but Information Systems（IS） cannot quickly adapt to the huge changes in external business processes. Increasing the efficiency of software reuse is the key to solve this problem. As the key technology of software reuse, component identification has always been a hot and difficult point of CBSD research. Combining the actual situation and relevant theoretical and technical foundation, this paper proposes a complete information system component identification method based on domain-oriented modeling, which specifically includes FFCA-based information system component identification model and validation process of it based on graph entropy. Through this component identification method, business components that meet the characteristics of high cohesion, low coupling, and appropriate granularity that are commonly used in the industry can be identified, which can quickly respond to change in the internal business logic of the software caused by changes in external requirements. Taking the company A’s material management process as an example, the proposed identification method is verified of information system component.

Key words: component identification, fuzzy formal concept analysis, graph entropy, cohesion and coupling, material management