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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/18261/1/ID77.pdf
http://umpir.ump.edu.my/id/eprint/18261/
https://ieeexplore.ieee.org/document/7482175/
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id my.ump.umpir.18261
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spelling my.ump.umpir.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/
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/18261/1/ID77.pdf
http://umpir.ump.edu.my/id/eprint/18261/
https://ieeexplore.ieee.org/document/7482175/
_version_ 1643668400148316160
score 13.211869

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