An Adaptive Rank Aggregation-Based Ensemble Multi-Filter Feature Selection Method in Software Defect Prediction

An Adaptive Rank Aggregation-Based Ensemble Multi-Filter Feature Selection Method in Software Defect Prediction

Feature selection is known to be an applicable solution to address the problem of high dimensionality in software defect prediction (SDP). However, choosing an appropriate filter feature selection (FFS) method that will generate and guarantee optimal features in SDP is an open research issue, known...

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Bibliographic Details
Main Authors: Abdullateef O. Balogun, Shuib Basri, Luiz Fernando Capretz, Saipunidzam Mahamad, Abdullahi A. Imam, Malek A. Almomani, Victor E. Adeyemo, Ganesh Kumar
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Entropy
Subjects:
feature selection
high dimensionality
rank aggregation
software defect prediction
Online Access:https://www.mdpi.com/1099-4300/23/10/1274

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