Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and many FS methods have been proposed in the context of software defect prediction (SDP). Moreover, many empirical studies on the impact and effectiveness of FS methods on SDP models often lead to contradictor...

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Bibliographic Details
Main Authors: Abdullateef O. Balogun, Shuib Basri, Saipunidzam Mahamad, Said J. Abdulkadir, Malek A. Almomani, Victor E. Adeyemo, Qasem Al-Tashi, Hammed A. Mojeed, Abdullahi A. Imam, Amos O. Bajeh
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Symmetry
Subjects:
feature selection (FS)
software defect prediction (SDP)
high dimensionality
Online Access:https://www.mdpi.com/2073-8994/12/7/1147

Internet

https://www.mdpi.com/2073-8994/12/7/1147

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