TY  - JOUR 
AU  - Alkharabsheh, Khalid
AU  - Alawadi, Sadi
AU  - Kebande, Victor R.
AU  - Crespo, Yania
AU  - Fernández-Delgado, Manuel
AU  - Taboada, José A.
PY  - 2022
SN  - 0950-5849
UR  - https://uvadoc.uva.es/handle/10324/74391
AB  - Context: Design smell detection has proven to be a significant activity that has an aim of not only enhancing the software quality but also increasing its life cycle.
Objective: This work investigates whether machine learning approaches can...
LA  - eng
PB  - Elsevier
TI  - A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class
DO  - 10.1016/j.infsof.2021.106736
ER  -