The Data Mining Techniques In The Software Defect Management

In recent years, the tide of global information driven by the rapid development of software systems on software quality assurance software systems become more and more urgent, thus, the software defect management in software project development management is a very important link. In order to find the defects of software system more efficiently, and to be timely settled, the data mining techniques is to be used. The process of data mining software system is the process that extracts and converts the large number of database from software system, and analysis of data after the model of treatment and finally find critical defect data mining database.This article combines data mining techniques and software defect management together, this paper adopts a Bayesian network, draw the structure model of stages of the development of software system, and forecast the detailed results of a software defects compared with defect metrics. After that, use the fuzzy clustering analysis in software defect management, to measure the data analysis. Finally, combine these technologies with Hitachi library database management system, analysis the actual defect in the library management system.