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  • 标题:Detection of Reliable Software Using SPRTandPareto Type II SRGM
  • 本地全文:下载
  • 作者:Dr. R. Satya Prasad ; N Geetha Rani ; Dr. R. R. L. Kantam
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:4
  • 页码:827-833
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Classical Hypothesis Testing is performed with volumes of data without analysis. Nevertheless, in Sequential Analysis there should have been examination directly over each and every problem once they are accumulated. Sequential Analysis approach concedes one to infer and it can be possible to reach a final conclusion in an advance stage. The procedure, which is adopted for this is Sequential Probability Ratio test (SPRT). This paper presentation shows how to use the Wald’s Sequential Probability Ratio Test (SPRT) to determine the reliability/Unreliability of software products. The well known SPRT procedure is adopted for the Pareto type II software reliability growth model (SRGM), which is based on the Non Homogenous Poisson Process (NHPP). The performance of the proposed Pareto Type II model is demonstrated by using 6 data sets.
  • 关键词:Software Reliability;NHPP;Pareto Type II Model;Maximum Likelihood Estimation;SPRT;Time Domain Data;Decision Lines
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