计算机科学 ›› 2016, Vol. 43 ›› Issue (6): 156-159.doi: 10.11896/j.issn.1002-137X.2016.06.032
王宗会,周勇,张德平
WANG Zong-hui, ZHOU Yong and ZHANG De-ping
摘要： 基于主成分分析(PCA)和改进的N-W非参数估计法(INW)提出了一种新的软件失效预测模型。首先,通过对非参数估计的训练样本集进行主成分分析来减少非参数回归估计和预测的输入因子数,再利用PCA计算的方差贡献率作为非参数方法中带宽矩阵的权重,消除各输入因子对结果的作用程度不同所造成的影响,进而建立软件失效预测模型。最后基于一组真实软件失效数据集Eclipse JDT进行实例分析。结果表明,基于改进的非参数方法的软件失效预测模型在预测的精度和稳定性上得到了进一步提高。在后10步的预测范围内,预测值的平均误差为16.2575,均方百分比误差为0.0726。
| [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] Nagappan N,Ball T,Zeller A.Mining metrics to predict component failures[C]∥28th International Conference on Software Engineering (ICSE).2006:452-461 [3] Liu Ya-nan,Wei Zhi-nong,Zhong Lin-juan,et al.Study on the forecasting model of power supply reliability based on PCA and RVM[J].Power System Protection and Control,2012,40(20):101-105(in Chinese) 刘亚南,卫志农,钟淋涓,等.基于PCA和RVM的电网供电可靠性预测模型研究[J].电力系统保护与控制,2012,40(20):101-105 [4] Catal C.Software fault prediction:A literature review and current trends[J].Expert Systems with Applications,2011,38(4):4626-4636 [5] Sandamali Dharmasena L,Zeephongsekul P.Fitting software reliability growth curves using nonparametric regression methods[J].Statistical Methodology,2010,7(2):109-120 [6] Couto C,Montandon J E,Silva C,et al.Static correspondenceand correlation between field defects and warnings reported by a bug finding tool[J].Software Quality Journal,2013,21(2):241-257 [7] Catal C.Software fault prediction:A literature review and current trends[J].Expert Systems with Applications,2011,38(4):4626-4636 [8] D’Ambros M,Lanza M,Robbes R.An extensive comparison of bug prediction approaches[C]∥7th IEEE Working Conference on Mining Software Repositories (MSR).2010:31-41 [9] Hwang J N,Lay S R,Lippman A.Nonparametric multivariate density estimation:a comparative study[J].IEEE Transactions on Signal Processing,1994,42(10):2795-2810 [10] Couto C,Montandon J E,Silva C.Static correspondence and correlation between field defects and warnings reported by a bug finding tool[J].Software Quality Journal,2013,21(2):241-257 [11] Nagappn N,Ball T.Using software dependencies and churn me-trics to predict field failures:an empirical case study[C]∥First International Symposisum on Empirical Software Engineering and Measurement.2007:364-373 [12] Lee H J,Naish L,Ramamohanarao K.Study of the relationship ofbug consistency with respect to performance of spectra metrics[C]∥2nd IEEE International Conference on Computer Science and Information Technology.2009:501-508 [13] Okutan A,Yildiz O T.Software defect prediction using Bayesian networks[J].Empir Software Eng,2014,19(1):154-181 [14] Couto C,Piresa P.Predicting software defects with causalitytests[J].Journal of Systems and Software,2014,93:154-181 [15] 叶阿忠.非参数和半参数计量经济模型理论[M].北京:科学出版社,2008:30-150 |
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