计算机科学 ›› 2016, Vol. 43 ›› Issue (11): 257-259.doi: 10.11896/j.issn.1002-137X.2016.11.050
梁宏涛,徐建良,许可
LIANG Hong-tao, XU Jian-liang and XU Ke
摘要： 可靠性作为衡量软件质量的一种重要特性,对软件管理具有重要的意义。针对单一核函数的缺陷,提出一种组合核函数相关向量机的软件可靠性预测模型。首先对当前软件可靠性研究现状进行分析,然后采用组合核函数相关向量机对训练集进行学习和建模,最后通过具体实例对模型的预测性能进行分析。结果表明,本模型获得了理想的软件可靠性预测结果,且其预测性能要优于单一核函数模型,在软件可靠性预测中有重要的应用价值。
| [1] Zheng Yan-yan,Guo Wei,Xu Ren-zuo.Overview of software reliability engineering [J].Computer Science,2009,36(2):20-25(in Chinese) 郑艳艳,郭伟,徐仁佐.软件可靠性工程学综述[J].计算机科学,2009,6(2):20-25 [2] Yang B,Li X,Xie M,et al.A generic data-driven software reliability model with model mining technique[J].Reliability Engineering and System Safety,2010,95(6):671-678 [3] Xiao X,Dohi T.Wavelet Shrinkage Estimation for Non-Homogeneous Poisson Process Based Software Reliability Models [J].IEEE Trans on Reliability,2013,62(1):211-225 [4] Jia Zhi-yu,Kang Rui.Forecasting method of software reliability based on ARIMA model [J].Computer Engineering and Application,2008,44(3):17-19(in Chinese) 贾治宇,康锐.软件可靠性预测的ARIMA方法研究[J].计算机工程与应用,2008,4(3):17-19 [5] Amin A,Grunske L,Colmn A.An approach to software reliabi-lity prediction based on time series modeling [J].The Journal of Systems and Software,2013,86(7):1923-1932 [6] Zhang Ke,Zhang De-ping,Wang Shuai.Chaotic neural network model for software reliability [J].Computer Science,2014,44(4):172-1177(in Chinese) 张柯,张德平,汪帅.软件可靠性混沌神经网络模型[J].计算机科学,2014,44(4):172-1177 [7] Li H,Zeng M,Lu M,et al.Adaboosting-based dynamic weightedcombination of software reliability growth models [J].Quality and Reliability Engineering International,2012,28(1):67-84 [8] Mohanty R,Ravi V,Patra M R.Hybrid intelligent systems for predicting software reliability [J].Applied Soft Computing,2013,13(1):189-200 [9] Park J,Baik J.Improving software reliability prediction through multi-criteria based on dynamic model selection and combination [J].The Journal of Systems and Software,2015,101(1):236-244 [10] Roy P,Mahapatra G S,Rani P,et al.Robust feed forward and recurrent neural network based dynamic weighted combination models for software reliability prediction [J].Applied Soft Computing,2014,22:629-637 [11] Zhang Ting-ting,Zhang De-ping,Liu Guo-qiang.Enhanced Baye-sian combinational model for software reliability prediction [J].Application Research of Computers,2015,33(9):5-10(in Chinese) 张婷婷,张德平,刘国强.软件可靠性预测的增强贝叶斯组合模型[J].计算机应用研究,2015,33(9):5-10 [12] Lou Jun-gang,Jiang Jian-hui,Shen Zhang-guo,et al.Softwarereliability prediction modeling with relevance vector machine [J].Journal of Computer Research and Development,2013,50(7):1542-1550(in Chinese) 楼俊钢,江建慧,沈张果,等.软件可靠性预测的相关向量机模型[J].计算机研究与发展,2013,50(7):1542-1550 [13] Ye Qiao-lin,Ye Ning,Zhang Xun-hua.Extreme Decompositionbased mixtures of Kernels and its improvement [J].Pattern Recognition and Artificial Intelligence,2009,8(3):366-373(in Chinese) 业巧林,业宁,张训华.基于极分解下的混合核函数及改进[J].模式识别与人工智能,2009,8(3):366-373 [14] Qiao Hui,Zhou Yan-zhou,Shao Nan,et al.Research of software reliability prediction model based on AGA-LVQ [J].Computer Science,2013,40(1):179-182(in Chinese) 乔辉,周雁舟,邵楠,等.基于AGA-LVQ神经网络的软件可靠性预测模型研究[J].计算机科学,2013,0(1):179-182 [15] Jia Ji-ting.Software reliability prediction based on PSOABC-SVM model [J].Computer Systems & Applications,2014,23(7):161-164(in Chinese) 贾冀婷.基于PSOABC-SVM的软件可靠性预测模型[J].计算机系统应用,2014,3(7):161-164 |
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