Author:
Cheng Tian,Zhao Kunsong,Sun Song,Mateen Muhammad,Wen Junhao
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science,Theoretical Computer Science
Reference47 articles.
1. Ghotra B, McIntosh S, Hassan A E. Revisiting the impact of classification techniques on the performance of defect prediction models. In: Proceedings of the 37th IEEE International Conference on Software Engineering. 2015, 789–800
2. Xu Z, Li S, Xu J, Luo X, Zhang T, Keung J, Tang Y. LDFR: learning deep feature representation for software defect prediction. Journal of Systems and Software, 2019, 158: 110402
3. Xu Z, Xuan J, Liu J, Cui X. MICHAC: defect prediction via feature selection based on maximal information coefficient with hierarchical agglomerative clustering. In: Proceedings of the 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering. 2016, 370–381
4. Chen X, Mu Y, Qu Y, Ni C, Liu M, He T, Liu S. Do different crossproject defect prediction methods identify the same defective modules? Journal of Software: Evolution and Process, 2020, 32(5): e2234
5. Menzies T, Greenwald J, Frank A. Data mining static code attributes to learn defect predictors. IEEE Transactions on Software Engineering, 2006, 33(1): 2–13
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