A Stacked Regressor for the Prediction of the Number of Defects in Software Modules
: This study proposes a Stacked Regressor (SR) model for software defect count prediction. The approach combines four heterogeneous base learners—Support Vector Regression (SVR), k -Nearest Neighbors (KNN), Random Forest Regressor (RFR), and Extra Trees Regressor (ETR)—whose predictions are aggregated through a meta-re...