A software reliability growth model
Most of the existing software reliability models assume time between failures to follow an exponential distribution. Develops a reliability growth model based on non-homogeneous Poisson process with intensity function given by the power law, to predict the reliability of a software. Several authors...
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Veröffentlicht in: | The International journal of quality & reliability management 1996-04, Vol.13 (3), p.84-94 |
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container_title | The International journal of quality & reliability management |
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creator | Suresh, Nalina Rao, A.N.V. Babu, A.J.G. |
description | Most of the existing software reliability models assume time between failures to follow an exponential distribution. Develops a reliability growth model based on non-homogeneous Poisson process with intensity function given by the power law, to predict the reliability of a software. Several authors have suggested the use of the non-homogeneous Poisson process to assess the reliability growth of software and to predict their failure behaviour. Inference procedures considered by these authors have been Bayesian in nature. Uses an unbiased estimate of the failure rate for prediction. Compares the performance of this model with Bayes empirical-Bayes models and a time series model. The model developed is realistic, easy to use, and gives a better prediction of reliability of a software. |
doi_str_mv | 10.1108/02656719610116108 |
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Develops a reliability growth model based on non-homogeneous Poisson process with intensity function given by the power law, to predict the reliability of a software. Several authors have suggested the use of the non-homogeneous Poisson process to assess the reliability growth of software and to predict their failure behaviour. Inference procedures considered by these authors have been Bayesian in nature. Uses an unbiased estimate of the failure rate for prediction. Compares the performance of this model with Bayes empirical-Bayes models and a time series model. The model developed is realistic, easy to use, and gives a better prediction of reliability of a software.</description><subject>Approximation</subject><subject>Evaluation</subject><subject>Failure</subject><subject>Growth models</subject><subject>Integrals</subject><subject>Process controls</subject><subject>Product quality</subject><subject>Random variables</subject><subject>Reliability</subject><subject>Software</subject><subject>Software development</subject><subject>Software quality</subject><subject>Software reliability</subject><subject>Statistical analysis</subject><subject>Studies</subject><issn>0265-671X</issn><issn>1758-6682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqN0V9rFDEQAPAgFjyv_QC-HRZ86mom2Z0kj0f_WKHSl5b2LWR3Z8-0u5sz2aP225vjRMEeKIEEJr-ZSRjG3gH_CMD1Jy6wQgUGgQPkTb9iM1CVLhC1eM1m2_sig_s37G1KD5xzASBm7Hi5SKGbnlykRaTeu9r3fnperGJ4mr4thtBSf8gOOtcnOvp1ztntxfnN6WVxdf35y-nyqmikEVNRask5mboRJUftOiiVyV1L7XQtJLVG1a2QtW6MgAawRS214sYZJStoOck5-7Cru47h-4bSZAefGup7N1LYJCtRAEoN_4TCoDQm15-z93_Bh7CJY_6EBaMQBNdbdLJDK9eT9WMXpuiaFY0UXR9G6nwOL0GXAhFN5sUenldLg2_2edj5JoaUInV2Hf3g4rMFbrezsy9m96eHTxP9-J3g4qNFJVVlyzthlSi_VtUl2rPs-c7TsH10-18tTvanvKB23XbyJx1Jsbc</recordid><startdate>19960401</startdate><enddate>19960401</enddate><creator>Suresh, Nalina</creator><creator>Rao, A.N.V.</creator><creator>Babu, A.J.G.</creator><general>MCB UP Ltd</general><general>Emerald Group Publishing, Ltd</general><general>Emerald Group Publishing Limited</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7TA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M0T</scope><scope>M2T</scope><scope>M7S</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>7TB</scope><scope>FR3</scope></search><sort><creationdate>19960401</creationdate><title>A software reliability growth model</title><author>Suresh, Nalina ; 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language | eng |
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subjects | Approximation Evaluation Failure Growth models Integrals Process controls Product quality Random variables Reliability Software Software development Software quality Software reliability Statistical analysis Studies |
title | A software reliability growth model |
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