A Review of Learning Paradigms and Artifact Representations for Software Defect Risk Prediction
The software quality risk prediction helps in resource allocation for software testing and maintenance by predicting the risk of software components. Recently, the research has moved from statistical and machine-learning classifiers to feature selection, class-imbalance handling, ensemble learning, source-code represen...