Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning. - Khalid Alkharabsheh; Yania Crespo; Manuel Fernández Delgado; José Manuel Cotos; José A. Taboada 001 (SEKE, 2019)

Software Design Smell Detection: a systematic mapping study. - Khalid Alkharabsheh; Yania Crespo; M. Esperanza Manso; José A. Taboada 001 (Softw. Qual. J., 2019)

Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection. - Khalid Alkharabsheh; Sadi Alawadi; Yania Crespo; M. Esperanza Manso; José A. Taboada 001 (IEEE Access, 2021)

Exploratory study of the impact of project domain and size category on the detection of the God class design smell. - Khalid Alkharabsheh; Yania Crespo; Manuel Fernández Delgado; José R. R. Viqueira; José A. Taboada 001 (Softw. Qual. J., 2021)

A hybrid convolutional neural network model for detection of diabetic retinopathy. - Musa Alshawabkeh; Mohammad Hashem Ryalat; Osama M. Dorgham; Khalid Alkharabsheh; Mohammad Hjouj Btoush; Mamoun Alazab (Int. J. Comput. Appl. Technol., 2022)

A concrete product derivation in software product line engineering: a practical approach. - Karam Ignaim; Khalid Alkharabsheh; André L. Ferreira; João M. Fernandes 001 (Int. J. Comput. Appl. Technol., 2022)

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class. - Khalid Alkharabsheh; Sadi Alawadi; Victor R. Kebande; Yania Crespo; Manuel Fernández Delgado; José A. Taboada 001 (Inf. Softw. Technol., 2022)

Prioritization of god class design smell: A multi-criteria based approach. - Khalid Alkharabsheh; Sadi Alawadi; Karam Ignaim; Nabeel Zanoon; Yania Crespo; M. Esperanza Manso; José Ángel Taboada González (J. King Saud Univ. Comput. Inf. Sci., 2022)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Sadi Alawadi; Khalid Alkharabsheh; Fahed Alkhabbas; Victor R. Kebande; Feras M. Awaysheh; Fabio Palomba (CoRR, 2023)

Selection of human evaluators for design smell detection using dragonfly optimization algorithm: An empirical study. - Sultan M. Al Khatib; Khalid Alkharabsheh; Sadi Alawadi (Inf. Softw. Technol., 2023)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Sadi Alawadi; Khalid Alkharabsheh; Fahed Alkhabbas; Victor R. Kebande; Feras M. Awaysheh; Fabio Palomba; Mohammed Awad (IEEE Access, 2024)