Author:
Satyanarayana Reddy S. Sai,Kumar Ashwani,Mounica N,Geetha Donakanti
Publisher
Springer International Publishing
Reference26 articles.
1. Mao, F., Li, B., Shen, B.: Cross-project software defect prediction based on instance transfer. J. Front. Comput. Sci. Technol. 10(1), 43–55 (2016)
2. Wang, K., Liu, L., Yuan, C., Wang, Z.: Software defect prediction model based on LASSO–SVM. Neural Comput. Appl. 33(14), 8249–8259 (2021)
3. Jing, X.Y., Wu, F., Dong, X., Xu, B.: An improved SDA based defect prediction framework for both within-project and cross-project class-imbalance problems. IEEE Trans. Softw. Eng. 43(4), 321–339 (2016)
4. Ding, Z., Xing, L.: Improved software defect prediction using pruned histogram-based isolation forest. Reliab. Eng. Syst. Saf. 204, 107170 (2020)
5. Malhotra, R., Jain, J.: Handling imbalanced data using ensemble learning in software defect prediction. In: 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 300–304 (2020)