Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction

Software Defect Prediction (SDP) plays a vital role in the software development life cycle as it helps identify and fix software defects. However, predicting software defects with irrelevant features and overlapping classes is challenging and can lead to lengthy training and low model accuracy. To...

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Bibliographic Details
Main Authors: Nasser, Abdullah, H.M. Ghanem, Waheed Ali, H.Y. Saad, Abdul-Malik, Hamed Abdul-Qawy, Antar Shaddad, A. Ghaleb, Sanaa A, Mohammed Alduais, Nayef Abdulwahab, Din, Fakhrud, Ghetas, Mohamed
Format: Article
Language:en
Published: Elsevier 2024
Subjects:
Online Access:http://eprints.uthm.edu.my/12384/1/J17840_db3d7dac97eb7dd5ebfb84944076dced.pdf
http://eprints.uthm.edu.my/12384/
https://doi.org/10.1016/j.eswa.2024.124266
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