Survey on input output relation based combination test data generation strategies

Combinatorial test data generation strategies have been known to be effective to detect the fault in the product due to the interaction between the product’s features. Over the years, many combinatorial test data generation strategies have been developed supporting uniform and variable strength inte...

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Main Authors: Alsewari, Abdulrahman A., Tairan, Nasser M., Kamal Z., Zamli
Format: Article
Language:English
English
Published: Asian Research Publishing Network (ARPN) 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/28723/1/Survey%20on%20input%20output%20relation%20based%20combination%20test%20data%20.pdf
http://umpir.ump.edu.my/id/eprint/28723/2/Survey%20on%20input%20output%20relation%20based%20combination%20test%20data_FULL.pdf
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author Alsewari, Abdulrahman A.
Tairan, Nasser M.
Kamal Z., Zamli
author_facet Alsewari, Abdulrahman A.
Tairan, Nasser M.
Kamal Z., Zamli
author_sort Alsewari, Abdulrahman A.
collection UMP
description Combinatorial test data generation strategies have been known to be effective to detect the fault in the product due to the interaction between the product’s features. Over the years, many combinatorial test data generation strategies have been developed supporting uniform and variable strength interactions. Although useful, these existing strategies are lacking the support for Input Output Relations (IOR). In fact, there are only a handful of existing strategies addresses IOR. This paper will review the existing combinatorial test data generation strategies supporting the IOR features specifically taking the nature inspired algorithm as the main basis. Benchmarking results illustrate the comparative performance of existing nature inspired algorithm based strategies supporting IOR.
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spelling UMPir287232022-11-03T09:58:47Z http://umpir.ump.edu.my/id/eprint/28723/ Survey on input output relation based combination test data generation strategies Alsewari, Abdulrahman A. Tairan, Nasser M. Kamal Z., Zamli QA Mathematics QA76 Computer software Combinatorial test data generation strategies have been known to be effective to detect the fault in the product due to the interaction between the product’s features. Over the years, many combinatorial test data generation strategies have been developed supporting uniform and variable strength interactions. Although useful, these existing strategies are lacking the support for Input Output Relations (IOR). In fact, there are only a handful of existing strategies addresses IOR. This paper will review the existing combinatorial test data generation strategies supporting the IOR features specifically taking the nature inspired algorithm as the main basis. Benchmarking results illustrate the comparative performance of existing nature inspired algorithm based strategies supporting IOR. Asian Research Publishing Network (ARPN) 2015-10 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28723/1/Survey%20on%20input%20output%20relation%20based%20combination%20test%20data%20.pdf pdf en http://umpir.ump.edu.my/id/eprint/28723/2/Survey%20on%20input%20output%20relation%20based%20combination%20test%20data_FULL.pdf Alsewari, Abdulrahman A. and Tairan, Nasser M. and Kamal Z., Zamli (2015) Survey on input output relation based combination test data generation strategies. ARPN Journal of Engineering and Applied Sciences, 10 (18). pp. 8427-8430. ISSN 1819-6608. (Published) http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1015_2739.pdf
spellingShingle QA Mathematics
QA76 Computer software
Alsewari, Abdulrahman A.
Tairan, Nasser M.
Kamal Z., Zamli
Survey on input output relation based combination test data generation strategies
title Survey on input output relation based combination test data generation strategies
title_full Survey on input output relation based combination test data generation strategies
title_fullStr Survey on input output relation based combination test data generation strategies
title_full_unstemmed Survey on input output relation based combination test data generation strategies
title_short Survey on input output relation based combination test data generation strategies
title_sort survey on input output relation based combination test data generation strategies
topic QA Mathematics
QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/28723/1/Survey%20on%20input%20output%20relation%20based%20combination%20test%20data%20.pdf
http://umpir.ump.edu.my/id/eprint/28723/2/Survey%20on%20input%20output%20relation%20based%20combination%20test%20data_FULL.pdf
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