Davide Falessi

STRESS: A Semi-Automated, Fully Replicable Approach for Project Selection

2017

The mining of software repositories has provided significant advances in a multitude of software engineering fields, including defect prediction. Several studies show that the performance of a software engineering technology (e.g., prediction model) differs across …

Optimizing Prediction Intervals by Tuning Random Forest via Meta-Validation

2018 · arXiv (Cornell University)

Recent studies have shown that tuning prediction models increases prediction accuracy and that Random Forest can be used to construct prediction intervals. However, to our best knowledge, no study has investigated the need to, and …