Statistical techniques to serve quality of software

Within the rapid development of the recent computer-based applications; software quality becomes one of the critical issues to be considered. Software development is complex, costly, widely used, and a core (heart) for critical and risky applications that have great affect on human life. Software te...

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Main Authors: Shihab, A. Hameed, AlJumaily, A. Asad, Daoud, Jamal Ibrahim
Format: Proceeding Paper
Language:English
Published: 2012
Subjects:
Online Access:http://irep.iium.edu.my/27963/
http://irep.iium.edu.my/27963/1/2052C.pdf
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author Shihab, A. Hameed
AlJumaily, A. Asad
Daoud, Jamal Ibrahim
author_facet Shihab, A. Hameed
AlJumaily, A. Asad
Daoud, Jamal Ibrahim
author_sort Shihab, A. Hameed
building IIUM Repository
collection Online Access
description Within the rapid development of the recent computer-based applications; software quality becomes one of the critical issues to be considered. Software development is complex, costly, widely used, and a core (heart) for critical and risky applications that have great affect on human life. Software testing is an essential issue in software quality. To get an efficient and effective testing we need a proper set of test data. One of the difficult and expensive parts of applying software-testing techniques is the generation of actual or meaningful test data since although there are several techniques and tools to automatically generate test data but mostly they generate meaningless data. This paper proposes a new model for generating meaningful test data. The model is based on using sample of real data and statistical techniques in generation process. The implementation results show that the samples of the generated data are meaningful and reflected the real world or field for testing processes. This leads to enhance the software quality.
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spelling iium-279632013-02-13T21:47:41Z http://irep.iium.edu.my/27963/ Statistical techniques to serve quality of software Shihab, A. Hameed AlJumaily, A. Asad Daoud, Jamal Ibrahim T Technology (General) Within the rapid development of the recent computer-based applications; software quality becomes one of the critical issues to be considered. Software development is complex, costly, widely used, and a core (heart) for critical and risky applications that have great affect on human life. Software testing is an essential issue in software quality. To get an efficient and effective testing we need a proper set of test data. One of the difficult and expensive parts of applying software-testing techniques is the generation of actual or meaningful test data since although there are several techniques and tools to automatically generate test data but mostly they generate meaningless data. This paper proposes a new model for generating meaningful test data. The model is based on using sample of real data and statistical techniques in generation process. The implementation results show that the samples of the generated data are meaningful and reflected the real world or field for testing processes. This leads to enhance the software quality. 2012 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/27963/1/2052C.pdf Shihab, A. Hameed and AlJumaily, A. Asad and Daoud, Jamal Ibrahim (2012) Statistical techniques to serve quality of software. In: 2nd International conference on Mathematical Applications 2012 (ICMAE’12), 3-5 July 2012, Kuala Lumpur, Malaysia.
spellingShingle T Technology (General)
Shihab, A. Hameed
AlJumaily, A. Asad
Daoud, Jamal Ibrahim
Statistical techniques to serve quality of software
title Statistical techniques to serve quality of software
title_full Statistical techniques to serve quality of software
title_fullStr Statistical techniques to serve quality of software
title_full_unstemmed Statistical techniques to serve quality of software
title_short Statistical techniques to serve quality of software
title_sort statistical techniques to serve quality of software
topic T Technology (General)
url http://irep.iium.edu.my/27963/
http://irep.iium.edu.my/27963/1/2052C.pdf