Code smell detection using feature selection and stacking ensemble: An empirical investigation

Abstract

Code smell detection is the process of identifying code pieces that are poorly designed and implemented. Recently more research has been directed towards machine learning-based approaches for code smells detection. Many classifiers have been explored in the literature, yet, finding an effective model to detect different code smells types has not yet been achieved.