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

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

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Abstract

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.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Analysis of t-way Strategies; Flower pollination algorithm; Combinatorial testing problem
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Prof. Dr. Kamal Zuhairi Zamli
Date Deposited: 19 Jul 2018 06:46
Last Modified: 19 Jul 2018 06:46
URI: http://umpir.ump.edu.my/id/eprint/18261
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