Search-Based Wrapper Feature Selection Methods in Software Defect Prediction: An Empirical Analysis
High dimensionality is a data quality problem that negatively influences the predictive capabilities of prediction models in software defect prediction (SDP). As a viable solution, feature selection (FS) has been used to address the high dimensionality problem in SDP. From existing studies, Filter-b...
Saved in:
Main Authors: | Balogun, A.O., Basri, S., Jadid, S.A., Mahamad, S., Al-momani, M.A., Bajeh, A.O., Alazzawi, A.K. |
---|---|
Format: | Article |
Published: |
Springer
2020
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089715754&doi=10.1007%2f978-3-030-51965-0_43&partnerID=40&md5=43e46e25f07ab051697ddf22a1bf6b90 http://eprints.utp.edu.my/24708/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Search-Based Wrapper Feature Selection Methods in Software Defect Prediction: An Empirical Analysis
by: Balogun, A.O., et al.
Published: (2020) -
A novel rank aggregation-based hybrid multifilter wrapper feature selection method in software defect prediction
by: Balogun, A.O., et al.
Published: (2021) -
Performance analysis of feature selection methods in software defect prediction: A search method approach
by: Balogun, A.O., et al.
Published: (2019) -
Software defect prediction: Analysis of class imbalance and performance stability
by: Balogun, A.O., et al.
Published: (2019) -
Empirical Analysis of Data Sampling-Based Ensemble Methods in Software Defect Prediction
by: Balogun, A.O., et al.
Published: (2022)