Research on an educational software defect prediction model based on SVM

Abstract

We must pay attention and find defects, defects through the prediction to quantify the quality management and quality in order to achieve this goal, requires an estimate of the various defect detection process. Software defects are the departure of software are products' anticipative function. This paper collecting the data of the software defects, then, using the SVM model the predictive values are gained analyzing the predictive results, software are organizations can improve software control measure software process and allocate testing resources effectively. © 2010 Springer-Verlag Berlin Heidelberg.