基于信息检索的服务概念内聚度量方法

A. Kazemi, A. Rostampour, A. Zamiri, Pooyan Jamshidi, H. Haghighi, F. S. Aliee
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引用次数: 9

摘要

高内聚性作为软件设计中的理想原则,对软件重用、维护和支持有着不可思议的影响。在面向服务的体系结构(SOA)中,服务对单个业务功能的关注被定义为概念内聚。当前用于度量服务内聚的度量标准主要反映了内聚的结构方面,因此不能用于度量服务的概念内聚。另一方面,潜在语义索引(LSI)是一种信息检索技术,广泛用于度量一组基于文本的文档之间的相似程度。本文提出了一种基于LSI技术的服务概念内聚度量,即SCD。该度量同时考虑服务功能和操作顺序来度量概念内聚。基于一组内聚原则对度量进行评估,并与先前提出的度量进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Information Retrieval Based Approach for Measuring Service Conceptual Cohesion
High cohesion as a desirable principle in software design has an incredible impact on software reuse, maintenance and support. In service-oriented architecture (SOA), the focus of services on single business functionality is defined as conceptual cohesion. Current metrics for measuring service cohesion reflect mostly the structural aspect of cohesion and therefore cannot be utilized to measure conceptual cohesion of services. Latent Semantic Indexing (LSI), on the other hand, is an information retrieval technique and is widely used to measure the degree of similarity between a set of text based documents. In this paper, a metric namely SCD is proposed that measure the conceptual cohesion of services based on LSI technique. This metric consider both service functionality and operation sequence to measure the conceptual cohesion. An evaluation of the metric based on a set of cohesion principles and comparison with the previously proposed metrics are also provided.
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