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H. Sharif

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Open access Aug 2026

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.

H. Sharif, Tara Nawzad Ahmad Al Attar, D. Rashid · 0 citations

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