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Research on reliability prediction model based on orthogonal layer-clustering algorithm
基于正交分层聚类算法软件可靠性模型的预测分析

Keywords: Software Reliability Growth Model (SRGM),orthogonal layer-clustering algorithm,failure dates set
软件可靠性增长模型
,正交分层聚类算法,失效数据集,正交,聚类算法,软件可靠性模型,预测分析,algorithm,orthogonal,based,prediction,model,reliability,数据验证,实验,评估,软件的可靠性,利用,归一化,假设前提,过程,结构分层,分布均匀,工作量

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Abstract:

Because of the disturbance of the test data on the prediction of software reliability growth model (SRGM), and the very demanding precondition that test work load must be distributed at regular intervals, orthogonal layer-clustering (OLC) algorithm was proposed. All the data that cannot meet the precondition got normalized. And J-M prediction model based on OLC algorithm was used to evaluate the reliability of the software. Experimental results prove that the J-M prediction model based on OLC algorithm is superior to the traditional J-M model.

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