Computer Science
Al-Aqsa
2023
Applied Intelligence
Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning
53
15
18715
18757
Al Betar, Mohammed Azmi, College of Engineering and Information Technology, Ajman University, Ajman, Ajman, United Arab Emirates
Too, Jingwei, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Malacca, Malacca, Malaysia
Department of Computer Science, Birzeit University, Birzeit, Palestine; Department of Computer Systems Engineering, Arab American University, Palestine, Jenin, West Bank, Palestine; Information Technology Engineering, Al-Quds University, Abu Dis, Palestine; College of Engineering and Information Technology, Ajman University, Ajman, Ajman, United Arab Emirates; Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Malacca, Malacca, Malaysia; Department of Computer Science, Al-Aqsa University, Gaza Strip, Palestine; Ajman University, Ajman, Ajman, United Arab Emirates; Department of Computing, American University of Kuwait, Kuwait City, Kuwait; Department of Computer Science, Yarmouk University, Irbid, Irbid, Jordan; Department of Health Management and Informatics, University of Missouri, Columbia, MO, United States
80
10.1007/s10489-022-04427-x