Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference69 articles.
1. Agrawal A, Menzies T (2018) Is better data better than better data miners?: on the benefits of tuning smote for defect prediction. In: Proceedings of the 40th international conference on software engineering. ACM, pp 1050–1061
2. Agrawal A, Fu W, Chen D, Shen X, Menzies T (2019) How to “dodge” complex software analytics. IEEE Trans Softw Eng:1–1. https://doi.org/10.1109/TSE.2019.2945020
3. Belkin M, Niyogi P (2001) Laplacian eigenmaps and spectral techniques for embedding and clustering. In: Proceedings of the 14th international conference on neural information processing systems: natural and synthetic, pp 585–591
4. Bennin KE, Keung J, Phannachitta P, Monden A, Mensah S (2017) Mahakil: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction. IEEE Trans Softw Eng 44(6):534–550
5. Bowes D, Hall T, Harman M, Jia Y, Sarro F, Wu F (2016) Mutation-aware fault prediction. In: Proceedings of the 25th international symposium on software testing and analysis, pp 330–341
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献