Training Data and Source Code

This repository contains the source code used to train and evaluate the machine learning models for defect prediction, as described in the accompanying research paper. The code demonstrates the predictive power of three distinct sets of metrics:- Software and History Metrics: Traditional software and project history metrics.- Human Error (HE) Based Metrics: Novel metrics derived from human error principles.- Combined Metrics: A comprehensive set combining both software and HE metrics.