计算机科学 ›› 2017, Vol. 44 ›› Issue (4): 75-78.doi: 10.11896/j.issn.1002-137X.2017.04.016
李寒,佟宁,陈峰
LI Han, TONG Ning and CHEN Feng
摘要： 针对软件聚类侧重相似度测度而欠缺考虑实体和特征的特性的问题,提出一种基于层次聚类的软件架构恢复方法(HCSAR)。该方法有针对性地选取实体和特征,提出特征的多重加权策略,采用信息丢失度作为相似度测度,选取和设计软件聚类的客观和主观评估准则。与目前效果较好的软件聚类方法相比,HCSAR在聚类中期能生成更多的簇,主观判定数更低,能够通过调整关注点获得不同的聚类结果,使用设计的评估准则分析聚类结果还能有效辅助系统划分。
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