A Code Profiling using Statistical Testing in StART

An exhausted testing is one of the testing strategy that need more time taken due to test the whole test cases in the Software Under Test. Many techniques have been proposed to avoid this situation because the size of the Software Under Test is vary and need to have good testing strategy performanc...

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Main Authors:	Roslina, Mohd Sidek, Abdul Azim, Abdul Ghani, Hazura, Zulzalil, Salmi, Baharom, Noraziah, Ahmad
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/20003/ http://umpir.ump.edu.my/id/eprint/20003/ http://umpir.ump.edu.my/id/eprint/20003/ http://umpir.ump.edu.my/id/eprint/20003/1/A%20Code%20Profiling%20using%20Statistical%20Testing%20in%20StART1.pdf

id	ump-20003
recordtype	eprints
spelling	ump-200032018-11-05T06:44:07Z http://umpir.ump.edu.my/id/eprint/20003/ A Code Profiling using Statistical Testing in StART Roslina, Mohd Sidek Abdul Azim, Abdul Ghani Hazura, Zulzalil Salmi, Baharom Noraziah, Ahmad QA76 Computer software An exhausted testing is one of the testing strategy that need more time taken due to test the whole test cases in the Software Under Test. Many techniques have been proposed to avoid this situation because the size of the Software Under Test is vary and need to have good testing strategy performance. One of the techniques is Adaptive Random Testing (ART). The ART is one of the enhanced random testing. Due to ART performance is better than pure random testing, it becomes motivation to implement the ART in Aspect Oriented Program (AOP). The ART and random testing are similar in which is selection the first test case with random manner. But, ART add another one characteristic which is the evenness test in domain area. Due to similar for first test case, we proposed a new strategy called StART. In StART, we use statistical testing technique to get the information before we test. This process we named it as code profiling. This code profiling helps in selection first test case in this technique. The result from this phase shows the area that we need to select for test activity. American Scientific Publisher 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20003/1/A%20Code%20Profiling%20using%20Statistical%20Testing%20in%20StART1.pdf Roslina, Mohd Sidek and Abdul Azim, Abdul Ghani and Hazura, Zulzalil and Salmi, Baharom and Noraziah, Ahmad (2018) A Code Profiling using Statistical Testing in StART. Advanced Science Letters, 24 (10). pp. 7295-7299. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12931 https://doi.org/10.1166/asl.2018.12931
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Roslina, Mohd Sidek Abdul Azim, Abdul Ghani Hazura, Zulzalil Salmi, Baharom Noraziah, Ahmad A Code Profiling using Statistical Testing in StART
description	An exhausted testing is one of the testing strategy that need more time taken due to test the whole test cases in the Software Under Test. Many techniques have been proposed to avoid this situation because the size of the Software Under Test is vary and need to have good testing strategy performance. One of the techniques is Adaptive Random Testing (ART). The ART is one of the enhanced random testing. Due to ART performance is better than pure random testing, it becomes motivation to implement the ART in Aspect Oriented Program (AOP). The ART and random testing are similar in which is selection the first test case with random manner. But, ART add another one characteristic which is the evenness test in domain area. Due to similar for first test case, we proposed a new strategy called StART. In StART, we use statistical testing technique to get the information before we test. This process we named it as code profiling. This code profiling helps in selection first test case in this technique. The result from this phase shows the area that we need to select for test activity.
format	Article
author	Roslina, Mohd Sidek Abdul Azim, Abdul Ghani Hazura, Zulzalil Salmi, Baharom Noraziah, Ahmad
author_facet	Roslina, Mohd Sidek Abdul Azim, Abdul Ghani Hazura, Zulzalil Salmi, Baharom Noraziah, Ahmad
author_sort	Roslina, Mohd Sidek
title	A Code Profiling using Statistical Testing in StART
title_short	A Code Profiling using Statistical Testing in StART
title_full	A Code Profiling using Statistical Testing in StART
title_fullStr	A Code Profiling using Statistical Testing in StART
title_full_unstemmed	A Code Profiling using Statistical Testing in StART
title_sort	code profiling using statistical testing in start
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/20003/ http://umpir.ump.edu.my/id/eprint/20003/ http://umpir.ump.edu.my/id/eprint/20003/ http://umpir.ump.edu.my/id/eprint/20003/1/A%20Code%20Profiling%20using%20Statistical%20Testing%20in%20StART1.pdf
first_indexed	2023-09-18T22:28:40Z
last_indexed	2023-09-18T22:28:40Z
_version_	1777416138378969088

A Code Profiling using Statistical Testing in StART

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