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A survey of software reliability growth model selection methods for improving reliability prediction accuracy

Reliability is a software quality characteristic that refer to the probability a system will work correctly over a period of time. Reliability prediction is important as it can be used to plan deployment, maintenance and test activities. This study assesses the efficiency of several techniques in so...

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Main Authors: Saidi, M. I. M., Isa, M. A., Jawawi, D. N. A., Ong, L. F.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:
QA76 Computer software
Online Access:http://eprints.utm.my/id/eprint/73265/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974622607&doi=10.1109%2fMySEC.2015.7475221&partnerID=40&md5=131b193c9113393e82e1719e10bdc4c2
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spelling my.utm.732652017-11-29T23:58:42Z http://eprints.utm.my/id/eprint/73265/ A survey of software reliability growth model selection methods for improving reliability prediction accuracy Saidi, M. I. M. Isa, M. A. Jawawi, D. N. A. Ong, L. F. QA76 Computer software Reliability is a software quality characteristic that refer to the probability a system will work correctly over a period of time. Reliability prediction is important as it can be used to plan deployment, maintenance and test activities. This study assesses the efficiency of several techniques in software reliability model (SRM) selection and aims to find out the possible enhancement to improve software reliability accuracy. The result of the survey shows most of the SRM selection technique does not optimizes the model parameter. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item PeerReviewed Saidi, M. I. M. and Isa, M. A. and Jawawi, D. N. A. and Ong, L. F. (2016) A survey of software reliability growth model selection methods for improving reliability prediction accuracy. In: 9th Malaysian Software Engineering Conference, MySEC 2015, 16 December 2015 through 17 December 2015, Kuala Lumpur; Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974622607&doi=10.1109%2fMySEC.2015.7475221&partnerID=40&md5=131b193c9113393e82e1719e10bdc4c2
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA76 Computer software
spellingShingle QA76 Computer software
Saidi, M. I. M.
Isa, M. A.
Jawawi, D. N. A.
Ong, L. F.
A survey of software reliability growth model selection methods for improving reliability prediction accuracy
description Reliability is a software quality characteristic that refer to the probability a system will work correctly over a period of time. Reliability prediction is important as it can be used to plan deployment, maintenance and test activities. This study assesses the efficiency of several techniques in software reliability model (SRM) selection and aims to find out the possible enhancement to improve software reliability accuracy. The result of the survey shows most of the SRM selection technique does not optimizes the model parameter.
format Conference or Workshop Item
author Saidi, M. I. M.
Isa, M. A.
Jawawi, D. N. A.
Ong, L. F.
author_facet Saidi, M. I. M.
Isa, M. A.
Jawawi, D. N. A.
Ong, L. F.
author_sort Saidi, M. I. M.
title A survey of software reliability growth model selection methods for improving reliability prediction accuracy
title_short A survey of software reliability growth model selection methods for improving reliability prediction accuracy
title_full A survey of software reliability growth model selection methods for improving reliability prediction accuracy
title_fullStr A survey of software reliability growth model selection methods for improving reliability prediction accuracy
title_full_unstemmed A survey of software reliability growth model selection methods for improving reliability prediction accuracy
title_sort survey of software reliability growth model selection methods for improving reliability prediction accuracy
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url http://eprints.utm.my/id/eprint/73265/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974622607&doi=10.1109%2fMySEC.2015.7475221&partnerID=40&md5=131b193c9113393e82e1719e10bdc4c2
_version_ 1643656620136202240
score 13.18916

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