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 predic
This is a replication package for the paper "MEG: Multi-objective Ensemble Generation for Defect Prediction", accepted at ESEM 2022. The compressed package is ~42MB and the uncompressed files are
Software defect prediction is a technology that uses known software information to predict defects in the target software. Generally, models are built using features such as software metrics, semantic
