DETECTION OF BURR TYPE III RELIABLE SOFTWARE USING SPRT: AN ORDER STATISTIC APPROACH

The acceptance of a software system depends on its reliability. Assessing reliability takes more time using classical hypothesis as the volume of data increases day by day. The volumes of data can be transformed using order statistics. Order statistics deals with applications of ordered random varia...

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Bibliographic Details
Published in:Journal of Theoretical and Applied Information Technology 2017-02, Vol.95 (4), p.849-849
Main Authors: Sobhana, K, Prasad, R Satya, Kumar, R Kiran
Format: Article
Language:English
Subjects:
Burrs
Computer programs
Information technology
Poisson density functions
Reliability analysis
Software
Software reliability
Statistics
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Summary:The acceptance of a software system depends on its reliability. Assessing reliability takes more time using classical hypothesis as the volume of data increases day by day. The volumes of data can be transformed using order statistics. Order statistics deals with applications of ordered random variables and functions of these variables. Sequential Analysis of Statistical science is very quick in deciding the reliability or unreliability on developed software. The method adopted is, Sequential Probability Ratio Test (SPRT) for continuous monitoring of the software. The likelihood based SPRT proposed by Wald is very general and it can be used for many different probability distributions. In this paper, the mean value function of Burr type III distribution based on Non-Homogenous Poisson Process (NHPP) with Order statistics and Sequential Probability Ratio Test is applied to analyze the results. Maximum Likelihood Estimation (MLE) is used to derive the unknown parameters of mean value function.
ISSN:1817-3195