Exponential software reliability using SPRT: MLE
Murali Mohan
Abstract
Open-access reader
Murali Mohan
Abstract
Open-access reader
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 or 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.In the present paper we propose the performance of SPRT on 4 data sets of Time domain data using exponential model and analyzed the results.The parameters are estimated using Maximum Likelihood Estimation method.
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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 or 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.In the present paper we propose the performance of SPRT on 4 data sets of Time domain data using exponential model and analyzed the results.The parameters are estimated using Maximum Likelihood Estimation method.
Key concepts: Computer science, Reliability (semiconductor), Software, Exponential function, Reliability engineering, Statistics, Mathematics, Programming language