Defect Prediction Technology in Software Engineering Based on Convolutional Neural Network
- DOI
- 10.1155/2022/5058461
- Published
- 2022-04-26
- Container
- Security and Communication Networks
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1155/2022/5058461,
title = {Defect Prediction Technology in Software Engineering Based on Convolutional Neural Network},
author = {Can Liu and Sumaya Sanober and Abu Sarwar Zamani and L. Rama Parvathy and Rahul Neware and Abdul Wahab Rahmani},
year = {2022},
journal = {Security and Communication Networks},
doi = {10.1155/2022/5058461},
url = {https://doi.org/10.1155/2022/5058461}
}RIS
TY - JOUR TI - Defect Prediction Technology in Software Engineering Based on Convolutional Neural Network AU - Can Liu AU - Sumaya Sanober AU - Abu Sarwar Zamani AU - L. Rama Parvathy AU - Rahul Neware AU - Abdul Wahab Rahmani PY - 2022 JO - Security and Communication Networks DO - 10.1155/2022/5058461 UR - https://doi.org/10.1155/2022/5058461 ER -
APA
Liu, C., Sanober, S., Zamani, A. S., Parvathy, L. R., Neware, R., & Rahmani, A. W. (2022). Defect Prediction Technology in Software Engineering Based on Convolutional Neural Network. Security and Communication Networks. https://doi.org/10.1155/2022/5058461
Source records
- crossref · retrieved 2026-09-25T22:14:02.195Z