A New Method to Predict Software Defect Based on Rough Sets

High quality software should have as few defects as possible. Many modeling techniques have been proposed and applied for software quality prediction. Software projects vary in size and complexity, programming languages, development processes, etc. We research the correlation of software metrics focusing on the data sets of software defect prediction. A rough set model is presented to reduce the attributes of data sets of software defect prediction in this paper. Experiment shows its splendid performance.