Machine Learning for Software Defect Prediction
This review paper explores the application of machine learning techniques in software defect prediction to improve software quality and reliability. It discusses algorithms such as logistic regression, decision trees, random forests, support vector machines, gradient boosting, and neural networks. The paper examines so...