A Rough Set Model for Software Defect Prediction

High assurance software requires extensive and expensive assessment. Many software organizations frequently do not allocate enough resources for software quality. We research the defect detectors focusing on the data sets of software defect prediction. A rough set model is presented to deal with the attributes of data sets of software defect prediction in this paper. Appling this model to the most famous public domain data set created by the NASA´s metrics data program shows its splendid performance.