A novel rank aggregation-based hybrid multifilter wrapper feature selection method in software defect prediction

被引：0
|
作者：
Balogun, Abdullateef O. [1 ,2 ]
Basri, Shuib [1 ,2 ]
Mahamad, Saipunidzam [1 ,2 ]
Capretz, Luiz Fernando [2 ,3 ]
Imam, Abdullahi Abubakar [1 ,2 ]
Almomani, Malek A. [2 ,4 ]
Adeyemo, Victor E. [2 ,5 ]
Kumar, Ganesh [1 ,2 ]
机构：
[1] Department of Computer and Information Science, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak,32610, Malaysia
[2] Department of Computer Science, University of Ilorin, Ilorin,1515, Nigeria
[3] Department of Electrical and Computer Engineering, Western University, London,ON,N6A 5B9, Canada
[4] Department of Software Engineering, World Islamic Sciences and Education University, Amman,11947, Jordan
[5] School of Built Environment, Engineering and Computing, Leeds Beckett University, Headingley Campus, Leeds,LS6 3QS, United Kingdom
来源：
Computational Intelligence and Neuroscience | 2021年 / 2021卷
关键词：
Defect prediction models - Feature selection methods - Features selection - Local optima - Performance - Rank aggregation - Rank lists - Selection problems - Software defect prediction - Software defects;
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