Software Measurement Data Analysis with Fuzzy Clustering Algorithm
Hong Hou · Microcomputer Development · 2005
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.