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  • 标题:Detection of Burr type XII Reliable Software Using SPRT on Interval Domain Dat
  • 本地全文:下载
  • 作者:Dr. R. Satya Prasad ; B. Ramadevi ; Dr. G.Sridevi
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:1806-1811
  • 出版社:TechScience Publications
  • 摘要:As the volumes of data/software is getting increased in the internet day by day, there is a need for the people to have the tools/mechanism to assess the software reliability as it takes more time to come to conclusion. In Classical Hypothesis first of all testing volumes of data is to be collected and later the conclusions are to be drawn which may take more time. In this paper a well known test procedure of statistical science called as Sequential Probability Ratio Test (SPRT) is adopted for Burr Type XII model in assessing the reliability of developed software. It requires considerably less number of observations when compared with the other existing testing procedures. Hence Sequential Analysis of Statistical Science could be adopted to decide upon the reliable / unreliable of the developed software very quickly. Besides the present paper proposes the performance of SPRT on Interval domain data using Burr type XII model and analyzed the results by applying on 6 data sets. The Maximum Likelihood Estimation is used for estimation of parameters.
  • 关键词:Burr Type XII model; Sequential Probability;Ratio Test; MLE; Software Reliability; NHPP
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