Empirical Analysis of Rank Aggregation-Based Multi-Filter Feature Selection Methods in Software Defect Prediction

• Published in: Electronics (Basel) Vol. 10; no. 2; p. 179
• Main Authors: Balogun, Abdullateef O., Basri, Shuib, Mahamad, Saipunidzam, Abdulkadir, Said Jadid, Capretz, Luiz Fernando, Imam, Abdullahi A., Almomani, Malek A., Adeyemo, Victor E., Kumar, Ganesh
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2021
• Subjects: Datasets; Decision trees; Defects; Empirical analysis; Feature selection; Human error; Methods; Prediction models; Principal components analysis; Software; Software quality

Selecting the most suitable filter method that will produce a subset of features with the best performance remains an open problem that is known as filter rank selection problem. A viable solution to this problem is to independently apply a mixture of filter methods and evaluate the results. This st...