模糊聚类算法在软件度量数据分析中的应用

Software Measurement Data Analysis with Fuzzy Clustering Algorithm

为了提高软件质量,控制和改汕软件开发过程,需要有效地度量软件开发过程和分析其过程各个阶段收集的度量数据。文中将模糊聚类算法应用到软件度量的数据分析中。先给出了数据挖掘相关知识和理论,再介绍了该算法在软件度量数据分析中应用的实验研究。由于较快地发现有严重缺陷的模块,进而提高了软件测试效率。

In order to improve software quality, control and better software process, should have the measurement of software development and analyses the data that are collected at various phases of the software development process. This paper introduces fuzzy clustering algorithm into analyzing software metrics data. The knowledge of data mining is briefly described and the framework of its application is discussed, the emphasis is placed on the experiment of analyzing software metrics data. It not only improves the level of software development and test of software, but also provides software quality management a scientific foundation.