Software Fault Detection using the Data Pre-Processing and Support Vectore Machine

Abstract

With increases use of high speed internet huge organization like banking, hospital and industrial work are
done using the software rather than manual work. So this organization are required high quality software. If failure
happen in the system is effect the financial cost of the organization. Software fault detection model is used for to
identify the fault in software which cause the failure. In this paper fault detection model is proposed which used data
pre-processing and support vector machine classifier.in data pre-processing feature ranking is perform using
information gain and feature cluster is form using fuzzy c-means clustering.