基于熵的信息系统业务模型复杂性度量

业务模型的复杂度决定企业信息系统的复杂度，也对信息系统的重构性能具有很大程度的影响。目前研究多侧重于代码级软件的复杂度度量，而对业务模型的复杂度则关注较少。本文首先给出了企业业务模型的分层体系结构，依据模型实体之间的依赖关系与分解关系将业务模型分解为一组基本模型单元。然后重点提出一种基于熵的模型复杂性度量方法，使用信息熵来描述业务模型的复杂性，通过计算基本模型单元的复杂度递归得到各模型实体、依赖关系的复杂性，进而综合得到模型的复杂性。最后通过实际案例验证了此方法的可行性。该方法为信息系统的设计与构造过程提供了有效的参考与决策依据。

Entropy-Based Complexity Metrics for Business Models of Enterprise Information System

The complexity of business models determines the complexity of enterprise information system,thereby im- pacts reconfiguration performance of the system to a great extent.Current researches focus mostly on complexity met rics of code-level software systems,and pay little attention to business model's complexity metrics.To quantitatively measure model complexity,a multi-layer architecture of business models is firstly shown,in which a business model is divided into a set of Basic Model Units (BMUs) by the dependency and decomposition relationships between business entities.Then an entropy-based complexity metrics is emphatically presented,in which the complexity of model enti- ties,dependency relationships,and business models can be recursively calculated by calculating the complexity of BMUs.Finally,a practical case is brought forth to validate the metrics.The method in this paper has great signifi- cance to thedesign and implementation of complex information systems.