… the role and significance of different feature selection techniques in CPDP. In (Ali, U., Aftab,
S., 2020), researchers introduced a novel method for predicting bugs in software projects that …

… -WTrA, method merges feature selection techniques and … a project to forecast software bugs
in another project. This method, known as TFS, employs transformation and feature selection …

… We propose a crossproject defect prediction based on transformation and feature selection
technique called TFSCPDP. The basic idea behind TFSCPDP is to improve the predictive …

… Most of the papers identified focus on within-project software defect prediction (SDP) models.
Such models … We analyze the application of different feature selection approaches in CPDP …

… Feature selection techniques are categorized based on unsupervised and supervised learning.
The major limitation of cross-project defect … AEEEM and ReLink software defect dataset. …

… a systematic review of software fault prediction studies. While Catal and Diri’s review provided
a … Filtering, feature selection, and transfer learning are some of the techniques used by …

… software defect prediction process and different defect prediction types, prior research were
reviewed … particularly well when feature selection has been applied to these combinations. …

… feature selection into software defect prediction could improve its performance [4-6]. Generally,
traditional defect … the same project, which is known as within-project defect prediction (…

… high number of software features has a negative … problem in SDP, feature selection methods
are deployed to address this issue by selecting only the important and irredundant software …

… For the selection of top-ranked features, log 2 N was used in this study, where N is the number
of software metrics in the full software defect dataset. Table 1 presents a description of the …