2013Unpublished venueRequires access

Software Reliability using SPRT: Inflection S- shaped Model

R. Satya Prasad, K. Prasada Rao, 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. In the present paper we propose the performance of SPRT on 5 data sets of Time domain data and analyzed the results. The parameters are estimated using Maximum Likelihood Estimation method.

About this research paper

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. In the present paper we propose the performance of SPRT on 5 data sets of Time domain data and analyzed the results. The parameters are estimated using Maximum Likelihood Estimation method.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

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. In the present paper we propose the performance of SPRT on 5 data sets of Time domain data and analyzed the results. The parameters are estimated using Maximum Likelihood Estimation method.

Key concepts: Sequential probability ratio test, Reliability (semiconductor), Computer science, Software, Statistics, Likelihood-ratio test, Mathematics, Programming language

Related papers

Back to paper searchBrowse research topicsOriginal source
Software Reliability using SPRT: Inflection S- shaped Model — Research Paper | ScholarLens