Tara Nawzad Ahmad Al Attar

A Robust Heterogeneous Ensemble Framework for Software Cost Estimation with Prediction Uncertainty Quantification

This paper presents a method using an uncertainty-aware heterogeneous ensemble of 100 bootstrap-trained base learners, which jointly produce point predictions and prediction intervals using a robust trimmed mean, with effort modeled on the log scale.