An Empirical Comparison of Machine Learning Techniques for Software Defect Prediction
Ruchika Malhotra, Rajeev R. Raje · 2015
Software systems are exposed to various types of defects. The timely identification of defective classes is essential in early phases of software development to reduce the cost of testing the software. Software metrics can be used in conjunction with defect data to develop models for predicting defe