IIUM Repository (IREP)

Statistical techniques to serve quality of software

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.

[img] PDF (Conference Paper,Presented) - Published Version
Restricted to Repository staff only until 2014.

Download (324kB) | Request a copy

Abstract

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.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4428/27963
Uncontrolled Keywords: Statistical Techniques, Software Quality, Test data, Meaningful data, permutation
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Science
Depositing User: Assoc.Prof.Dr Jamal Daoud
Date Deposited: 31 Dec 2012 12:36
Last Modified: 14 Feb 2013 05:47
URI: http://irep.iium.edu.my/id/eprint/27963

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year