… has an excellent classification performance on the two types of software … feature selection
based on the wrapper in the traditional software defect prediction model has good prediction …

… 13 search methods were investigated with WFS method based on NB classifier on 7
software defect datasets. The essence of this study is to empirically assess the deployment of …

… (DT) and Naïve Bayes classifiers on software defect datasets with … that the prediction output
of the selected classifiers was … -based FS techniques on heterogeneous prediction models, …

… Ghotra, B., McIntosh, S., Hassan, AE: A large-scale study of the impact of feature selection
techniques on defect classification models. In: 2017 IEEE/ACM 14th International Conference …

… feature selection techniques on software defect prediction. Nine classifiers were examined to
explore which classifier … model, using a hybrid combination of wrapper and filter techniques…

… subsets that produce an optimal performance for the predetermined classifier. In this study,
two wrapper methods based on three search methods were considered. In addition, NB and …

… this domain, including data heterogeneity, class imbalance, and … machine learning classifiers
to predict software defects in … several feature selection techniques, such as filters, wrappers…

… specific classifier’s estimation error. The wrapper method performs feature selection based
on … integrates nested stacking and heterogeneous FS to achieve more accurate prediction of …

… on benchmarked software defect datasets with Naïve Bayes and Decision Tree classifiers
based on … [2] also compared filter-based FS approaches on heterogeneous prediction models, …

… ensemble-based software defect prediction framework that … a genetic algorithm-based
feature selection technique. The … heterogeneous base classifiers into feature selection-based …