Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model.
- DOI
- 10.1038/s41598-024-65639-4
- Published
- 2024 Jul 1
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-024-65639-4,
title = {Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model.},
author = {Abdu A and Zhai Z and Abdo HA and Algabri R and Al-Masni MA and Muhammad MS and Gu YH},
year = {2024},
journal = {Scientific reports},
doi = {10.1038/s41598-024-65639-4},
url = {https://doi.org/10.1038/s41598-024-65639-4}
}RIS
TY - JOUR TI - Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model. AU - Abdu A AU - Zhai Z AU - Abdo HA AU - Algabri R AU - Al-Masni MA AU - Muhammad MS AU - Gu YH PY - 2024 JO - Scientific reports DO - 10.1038/s41598-024-65639-4 UR - https://doi.org/10.1038/s41598-024-65639-4 ER -
APA
A, A., Z, Z., HA, A., R, A., MA, A., MS, M., & YH, G. (2024). Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model.. Scientific reports. https://doi.org/10.1038/s41598-024-65639-4
Source records
- pubmed · retrieved 2026-09-26T18:42:58.184Z