Software defect prediction ensemble learning algorithm based on 2-step sparrow optimizing extreme learning machine
Author:
Funder
National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04446-y.pdf
Reference71 articles.
1. Zhao, Y., Damevski, K., Chen, H.: A systematic survey of just-in-time software defect prediction. ACM Comput. Surv. 55(10), 1–35 (2023)
2. Tabassum, S., Minku, L.L., Feng, D.: Cross-project online just-in-time software defect prediction. IEEE Trans. Softw. Eng. 49(1), 268–287 (2022)
3. Wang, H., Zhuang, W., Zhang, X.: Software defect prediction based on gated hierarchical LSTMs. IEEE Trans. Reliab. 70(2), 711–727 (2021)
4. Nevendra, M., Singh, P.: A survey of software defect prediction based on deep learning. Arch. Comput. Methods Eng. 29(7), 5723–5748 (2022)
5. Cabral, G.G., Minku, L.L.: Towards reliable online just-in-time software defect prediction. IEEE Trans. Softw. Eng. 49(3), 1342–1358 (2022)
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