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首页> 外文期刊>International Journal of Information and Communication Technology >Component identification method based on semantic similarity and the cluster algorithm
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Component identification method based on semantic similarity and the cluster algorithm

机译：基于语义相似度和聚类算法的组件识别方法

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摘要

Component identification is a key problem in software reuse. In order to obtain a set of business components (BCs) with high reuse value and good reuse performance to support reuse, a BC design method based on the cluster algorithm was proposed. Through analysing existing business models, element composite models were described to divide the domain by analysing the conception semantics of the transaction field. The hierarchical clustering analysis technique based on the similarity degree among activities was also given. In the identification process, the concept of business element similarity which can overcome the limitation of the domain platform was given. Commonality, variability, granularity, and reuse cost were taken into account in the method. Experiment results show that the valuation and performance of reusability for the transaction component are improved effectively, especially the design in the platform independent model.
机译：组件标识是软件重用中的关键问题。为了获得具有高重用价值和良好重用性能的业务组件集以支持重用，提出了一种基于聚类算法的业务组件设计方法。通过分析现有业务模型，描述了元素组合模型，通过分析交易领域的概念语义来划分领域。给出了基于活动相似度的层次聚类分析技术。在识别过程中，提出了可以克服领域平台局限性的业务元素相似度概念。该方法考虑了通用性，可变性，粒度和重用成本。实验结果表明，交易组件的可重用性评估和性能得到了有效提高，尤其是在平台独立模型中的设计。

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