Computer Science ›› 2016, Vol. 43 ›› Issue (11): 257-259.doi: 10.11896/j.issn.1002-137X.2016.11.050

Previous Articles     Next Articles

Software Reliability Prediction Model Based on Hybrid Kernels RVM

LIANG Hong-tao, XU Jian-liang and XU Ke   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Reliability as an important measure of software quality,is of great significance to software management.A software reliability prediction model by using hybrid kernel function relevance vector machine was proposed in this paper to solve defects of single kernel function.Firstly,research status of software reliability is analyzed.Secondly,trai-ning samples are studied and modeled by using hybrid kernel function relevance vector machine.Finally,the prediction performance is analyzed with some specific examples.The results show that the proposed model can obtain ideal software reliability prediction results,and the performance is better than the single kernel function models,so it has important practical application value in software reliability prediction.

Key words: Software reliability,Prediction model,Hybrid kernels function,Relevance vector machine

[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

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75, 88 .
[2] XIA Qing-xun and ZHUANG Yi. Remote Attestation Mechanism Based on Locality Principle[J]. Computer Science, 2018, 45(4): 148 -151, 162 .
[3] LI Bai-shen, LI Ling-zhi, SUN Yong and ZHU Yan-qin. Intranet Defense Algorithm Based on Pseudo Boosting Decision Tree[J]. Computer Science, 2018, 45(4): 157 -162 .
[4] WANG Huan, ZHANG Yun-feng and ZHANG Yan. Rapid Decision Method for Repairing Sequence Based on CFDs[J]. Computer Science, 2018, 45(3): 311 -316 .
[5] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[6] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[7] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[8] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[9] ZHONG Fei and YANG Bin. License Plate Detection Based on Principal Component Analysis Network[J]. Computer Science, 2018, 45(3): 268 -273 .
[10] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99, 116 .