Optimizing Pi–Sigma Neural Networks for software defect prediction via correlation-based feature selection and robust evaluation
- DOI
- 10.1186/s42269-026-01453-4
- Published
- 2026-07-27
- Container
- Bulletin of the National Research Centre
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s42269-026-01453-4,
title = {Optimizing Pi–Sigma Neural Networks for software defect prediction via correlation-based feature selection and robust evaluation},
author = {Barka Piyinkir Ndahi and Opeyemi Aderiike Abisoye and Oluwaseun Adeniyi Ojerinde and Hamzat Olanrewaju Aliyu},
year = {2026},
journal = {Bulletin of the National Research Centre},
doi = {10.1186/s42269-026-01453-4},
url = {https://doi.org/10.1186/s42269-026-01453-4}
}RIS
TY - JOUR TI - Optimizing Pi–Sigma Neural Networks for software defect prediction via correlation-based feature selection and robust evaluation AU - Barka Piyinkir Ndahi AU - Opeyemi Aderiike Abisoye AU - Oluwaseun Adeniyi Ojerinde AU - Hamzat Olanrewaju Aliyu PY - 2026 JO - Bulletin of the National Research Centre DO - 10.1186/s42269-026-01453-4 UR - https://doi.org/10.1186/s42269-026-01453-4 ER -
APA
Ndahi, B. P., Abisoye, O. A., Ojerinde, O. A., & Aliyu, H. O. (2026). Optimizing Pi–Sigma Neural Networks for software defect prediction via correlation-based feature selection and robust evaluation. Bulletin of the National Research Centre. https://doi.org/10.1186/s42269-026-01453-4
Source records
- crossref · retrieved 2026-09-26T21:50:21.906Z