An Audit of Machine Learning Experiments on Software Defect Prediction

Giuseppe Destefanis, Leila Yousefi, Martin Shepperd +4

Background: Machine learning algorithms are widely used to predict defect prone software components. In this literature, computational experiments are the main means of evaluation,…