… This research proposed a classification framework to detect the defect prone software modules
… multi-filter feature selection based classification framework for software defect prediction. …

… multi-filter feature selection (FS) methods to address high dimensionality and filter rank
selection problem in software defect prediction (… individual filter methods using rank aggregation …

… multi-filter feature selection method to address high dimensionality and filter rank selection
problems in software defect prediction. … methods from the software defect dataset using a rank …

… selection problems in software defect prediction by proposing a novel AREMFFS method.
Selecting an applicable and pertinent filter FS method to be used in SDP is often a problem as …

… study proposes a hybrid multi-filter wrapper method for feature selection of relevant and
irredundant features in software defect prediction. The proposed hybrid feature selection will be …

… classification framework for software defect prediction using variant based ensemble learning
and feature selection … They used a multi filter feature section technique with an aggregated …

… data quality problem individually … framework based on correlation-based feature selection
(CFS) and synthetic minority oversampling (SMOTE) methods for software defect prediction. …

… a multi-filter feature selection strategy for selecting … feature selection strategies in software
defect prediction. However, some recent studies proposed many ensemble feature selection …

… software development, software defect prediction is an important aspect in ensuring the
quality and reliability of software … feature selection techniques for software defect prediction,” …

… [13] proposed an integrated classification framework based on multiple feature selection
algorithms and … [15] presented a classification framework which uses Multi-Filter feature …