Detection Of Reliable Software Using Sprt On Time Domain Data

Mohan, K. V.; Ravi, Satya Prasad

doi:10.5121/ijcsea.2011.1407

IJCSEA

2011

DOI: 10.5121/ijcsea.2011.1407

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Detection Of Reliable Software Using Sprt On Time Domain Data

K. V. Mohan¹,

Satya Prasad Ravi²

Abstract: ABSTRACT

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Cited by 2 publications

References 17 publications

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Assessing Reliable Software using SPRT based on LPETM

Prasad¹,

Haritha²,

,RashmithaBhanu,S.Hanudeep,G.Srilatha³

2012

IJCA

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Software reliability assessment is increasingly important in developing and testing new software products. Logarithmic Poisson Execution Time Model (LPETM) is a software reliability model which predicts the expected failures and hence related reliability quantities better than existing software reliability models. It uses Non-Homogeneous Poisson Process(NHPP) with a mean value function that is dependent on exponentially falling fault detection rate. The well known sequential Probability Ratio Test(SPRT) procedure of statistical science is adopted for this model in order to decide upon the reliability / unreliability of developed software. The model is evaluated by using 6 Data Sets.

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Assessing Reliable Software using SPRT based on LPETM

Prasad¹,

Haritha²,

,RashmithaBhanu,S.Hanudeep,G.Srilatha³

2012

IJCA

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An SPRT Procedure for an Ungrouped Data using MMLE Approach

Goutham¹,

Prasad²

2013

IOSR-JCE

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Sequential Analysis of statistical science could be adopted in order to decide up on the reliable/unreliable of the developed software very quickly. Sequential analysis is different from classical hypothesis testing. In classing hypothesis testing one can draw conclusion during the data collection and final conclusion can possible be reached at a later stage, whereas sequential analysis are easy to see as data collection can be terminated after fewer cases and decision taken earlier stage, thus saving in terms of reliability of software. In this paper we proposed the performance of sequential probability ratio test (SPRT) on time domain data using exponential model and analyzed the result by applying on 3 data sets. The parameters are estimated using Modified Maximum likelihood estimation.

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Detection Of Reliable Software Using Sprt On Time Domain Data

Abstract: ABSTRACT

Cited by 2 publications

References 17 publications

Assessing Reliable Software using SPRT based on LPETM

Assessing Reliable Software using SPRT based on LPETM

An SPRT Procedure for an Ungrouped Data using MMLE Approach

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