Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy

Exhaustive testing is extremely difficult to perform owing to the large number of combinations. Thus, sampling and finding the optimal test suite from a set of feasible test cases becomes a central concern. Addressing this issue, the adoption of t-way testing (where t indicates the interaction stren...

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Main Authors:	Abdullah, Nasser, Sariera, Yazan A., Alsewari, Abdulrahman A., Kamal Z., Zamli
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2016
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/18261/ http://umpir.ump.edu.my/id/eprint/18261/ http://umpir.ump.edu.my/id/eprint/18261/1/ID77.pdf

id	ump-18261
recordtype	eprints
spelling	ump-182612018-07-19T06:46:17Z http://umpir.ump.edu.my/id/eprint/18261/ Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy Abdullah, Nasser Sariera, Yazan A. Alsewari, Abdulrahman A. Kamal Z., Zamli QA76 Computer software Exhaustive testing is extremely difficult to perform owing to the large number of combinations. Thus, sampling and finding the optimal test suite from a set of feasible test cases becomes a central concern. Addressing this issue, the adoption of t-way testing (where t indicates the interaction strength) has come into the limelight. In order to summarize the achievements so far and facilitate future development, the main focus of this paper is, first, to present a critical comparison of adoption optimization algorithms (OA) as a basis of the t-way test suite generation strategy and, second, to propose a new t-way strategy based on Flower Pollination Algorithm, called Flower Strategy (FS). Analytical and experimental results demonstrate the applicability of FS for t-way test suite generation. IEEE 2016-05 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/18261/1/ID77.pdf Abdullah, Nasser and Sariera, Yazan A. and Alsewari, Abdulrahman A. and Kamal Z., Zamli (2016) Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy. In: 5th IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2015), 27-29 November 2015 , Penang, Malaysia. pp. 150-155.. ISBN 978-147998252-3 https://ieeexplore.ieee.org/document/7482175/
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 Abdullah, Nasser Sariera, Yazan A. Alsewari, Abdulrahman A. Kamal Z., Zamli Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy
description	Exhaustive testing is extremely difficult to perform owing to the large number of combinations. Thus, sampling and finding the optimal test suite from a set of feasible test cases becomes a central concern. Addressing this issue, the adoption of t-way testing (where t indicates the interaction strength) has come into the limelight. In order to summarize the achievements so far and facilitate future development, the main focus of this paper is, first, to present a critical comparison of adoption optimization algorithms (OA) as a basis of the t-way test suite generation strategy and, second, to propose a new t-way strategy based on Flower Pollination Algorithm, called Flower Strategy (FS). Analytical and experimental results demonstrate the applicability of FS for t-way test suite generation.
format	Conference or Workshop Item
author	Abdullah, Nasser Sariera, Yazan A. Alsewari, Abdulrahman A. Kamal Z., Zamli
author_facet	Abdullah, Nasser Sariera, Yazan A. Alsewari, Abdulrahman A. Kamal Z., Zamli
author_sort	Abdullah, Nasser
title	Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy
title_short	Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy
title_full	Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy
title_fullStr	Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy
title_full_unstemmed	Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy
title_sort	assessing optimization based strategies for t-way test suite generation: the case for flower-based strategy
publisher	IEEE
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/18261/ http://umpir.ump.edu.my/id/eprint/18261/ http://umpir.ump.edu.my/id/eprint/18261/1/ID77.pdf
first_indexed	2023-09-18T22:25:46Z
last_indexed	2023-09-18T22:25:46Z
_version_	1777415955593297920

Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy

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