A Novel Approach for Identifying Software Fault Prediction in mining

Identifying and locating defects in software projects is a difficult work. In particular, when project sizes grow, this task becomes expensive. The aim of this research is to establish a method for identifying software defects using data mining applications methods. In this work we used Synthetic data Program (SD).We used mining methods to construct a two step model that predicts potentially defected modules within a given set of software modules with respect to their metric data. The data set used in the experiments is organized in two forms for learning and predicting purposes; the training set and the testing set. The experiments show that the two step model enhances defect prediction performance. KeywordsFault Prediction, Hardware, Software, Mining, Fault Detection.