Computer Science ›› 2018, Vol. 45 ›› Issue (8): 160-165.doi: 10.11896/j.issn.1002-137X.2018.08.029
• Software & Database Technology • Previous Articles Next Articles
XUE Can-guan, YAN Xue-feng
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| [1]WANG Q,WU S J,LI M S.Software defect prediction[J].Journal of Software,2008,19(7):1565-1580.(in Chinese)王青,伍书剑,李明树.软件缺陷预测技术[J].软件学报,2008,19(7):1565-1580. [2]CHEN X,GU Q,LIU W S,et al.Survey of static software defect prediction[J].Journal ofSoftware,2016,27(1):1-25.(in Chinese)陈翔,顾庆,刘望舒,等.静态软件缺陷预测方法研究[J].软件学报,2016,27(1):1-25. [3]JINDAL R,MALHOTRA R,JAIN A.Software defect prediction using neural networks[C]∥International Conference on Reliability,INFOCOM Technologies and Optimization.IEEE,2015:1-6. [4]OKUTAN A,YILDIZ O T.Software defect prediction usingBayesian networks[J].Empirical Software Engineering,2014,19(1):154-181. [5]KALAI M R,GRACIA JACOB S.Improved Random ForestAlgorithm for Software Defect Prediction through Data Mining Techniques[J].International Journal of Computer Applications,2015,117(23):18-22. [6]WANG T,ZHANG Z,JING X,et al.Multiple kernel ensemble learning for software defect prediction[J].Automated Software Engineering,2016,23(4):1-22. [7]THANGAVEL M,NASIRA G M.Support Vector Machine for Software Defect Prediction[J].International Journal of Applied Engineering Research,2014,9(24):25633-25644. [8]SUN Z J,XUE L,XU Y M,et al.Overview of deep learning[J].Application Research of Computers,2012,29(8):2806-2810.(in Chinese)孙志军,薛磊,许阳明,等.深度学习研究综述[J].计算机应用研究,2012,29(8):2806-2810. [9]HINTON G E,SALAKHUTDINOV R R.Reducing the dimensionality of data with neural networks[J].Science,2006,313(5786):504. [10]DENGL,DONG Y.Deep Learning:Methods and Applications[M].Now Publishers Inc.,2014. [11]ZHOU Z H,FENG J.Deep Forest:Towards An Alternative to Deep Neural Networks[C]∥IJCAI-17.2017:3553-3559. [12]BREIMAN L.Random Forests[J].Machine Learning,2001,45(1):5-32. [13]LIU F T,TING K M,YU Y,et al.Spectrum of variable-random trees[J].Journal of Artificial Intelligence Research,2008,32(1):355-384. [14]WOLPERT D H.Stacked Generalization[J].Neural Networks,1992,5(2):241-259. [15]ZIMMERMANN T,PREMRAJ R,ZELLER A.Predicting Defects for Eclipse[C]∥International Workshop on Predictor MODELS in Software Engineering.IEEE,2007:9. |
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