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2014•Unpublished venueRequires access

Software Reliability using SPRT: Log Power Model

R. Satya Prasad, B. Indira, G. Krishna Mohan

Open publisher page 2 citations

Abstract

In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are drawn, which may need more time. But, Sequential Analysis of Statistical science could be adopted in order to decide upon the reliability / unreliability of the developed software very quickly. The procedure adopted for this is, Sequential Probability Ratio Test (SPRT). It is designed for continuous monitoring. The likelihood based SPRT proposed by Wald is very general and it can be used for many different probability distributions. The parameters are estimated using Maximum Likelihood Estimation method.In the present paper, we have applied the Log Power model to five sets of existing software reliability data and analyzed the results

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What this paper is about

In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are drawn, which may need more time. But, Sequential Analysis of Statistical science could be adopted in order to decide upon the reliability / unreliability of the developed software very quickly. The procedure adopted for this is, Sequential Probability Ratio Test (SPRT). It is designed for continuous monitoring. The likelihood based SPRT proposed by Wald is very general and it can be used for many different probability distributions. The parameters are estimated using Maximum Likelihood Estimation method.In the present paper, we have applied the Log Power model to five sets of existing software reliability data and analyzed the results

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Available abstract

In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are drawn, which may need more time. But, Sequential Analysis of Statistical science could be adopted in order to decide upon the reliability / unreliability of the developed software very quickly. The procedure adopted for this is, Sequential Probability Ratio Test (SPRT). It is designed for continuous monitoring. The likelihood based SPRT proposed by Wald is very general and it can be used for many different probability distributions. The parameters are estimated using Maximum Likelihood Estimation method.In the present paper, we have applied the Log Power model to five sets of existing software reliability data and analyzed the results

Key concepts: Sequential probability ratio test, Reliability (semiconductor), Software, Software quality, Computer science, Reliability engineering, Statistical power, Statistics

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