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...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
