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

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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

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