Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation

T-way testing is a sampling approach for test data generation. Recently, adapting meta-heuristic algorithms for t-way testing is very attractive in order to find a minimum subset of test data that can test a system overall. As a consequence, several meta-heuristic algorithms have been used as the ba...

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Main Authors:	Abdullah, Nasser, Kamal Z., Zamli
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/6/31.%20Comparative%20Study%20between%20Flower%20Pollination%20Algorithm%20and%20Cuckoo%20Search%20Algorithm%20for%20t-way%20Test%20Data%20Generation1.pdf

id	ump-19757
recordtype	eprints
spelling	ump-197572018-11-13T02:06:36Z http://umpir.ump.edu.my/id/eprint/19757/ Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation Abdullah, Nasser Kamal Z., Zamli QA76 Computer software T-way testing is a sampling approach for test data generation. Recently, adapting meta-heuristic algorithms for t-way testing is very attractive in order to find a minimum subset of test data that can test a system overall. As a consequence, several meta-heuristic algorithms have been used as the basis of t-way strategies. In order to guide software tester (and engineers in general) to select the best algorithm for the problem at hand, there is a need to evaluate and benchmark the performance of each strategy against common case studies. This paper presents a comparative study between two meta-heuristic strategies for t-way test data generation: Flower Pollination Algorithm (FPA) and Cuckoo Search (CS). Our experiments have performed on a real-world case study. Experimental results demonstrate that FPA appears to produce better results in most of the test cases in term of test suite size and convergence rate owing to its ability for controlling local and global search. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19757/6/31.%20Comparative%20Study%20between%20Flower%20Pollination%20Algorithm%20and%20Cuckoo%20Search%20Algorithm%20for%20t-way%20Test%20Data%20Generation1.pdf Abdullah, Nasser and Kamal Z., Zamli (2018) Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation. Advanced Science Letters, 24 (10). pp. 7465-7469. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12960 DOI: 10.1166/asl.2018.12960
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 Kamal Z., Zamli Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation
description	T-way testing is a sampling approach for test data generation. Recently, adapting meta-heuristic algorithms for t-way testing is very attractive in order to find a minimum subset of test data that can test a system overall. As a consequence, several meta-heuristic algorithms have been used as the basis of t-way strategies. In order to guide software tester (and engineers in general) to select the best algorithm for the problem at hand, there is a need to evaluate and benchmark the performance of each strategy against common case studies. This paper presents a comparative study between two meta-heuristic strategies for t-way test data generation: Flower Pollination Algorithm (FPA) and Cuckoo Search (CS). Our experiments have performed on a real-world case study. Experimental results demonstrate that FPA appears to produce better results in most of the test cases in term of test suite size and convergence rate owing to its ability for controlling local and global search.
format	Article
author	Abdullah, Nasser Kamal Z., Zamli
author_facet	Abdullah, Nasser Kamal Z., Zamli
author_sort	Abdullah, Nasser
title	Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation
title_short	Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation
title_full	Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation
title_fullStr	Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation
title_full_unstemmed	Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation
title_sort	comparative study between flower pollination algorithm and cuckoo search algorithm for t-way test data generation
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/6/31.%20Comparative%20Study%20between%20Flower%20Pollination%20Algorithm%20and%20Cuckoo%20Search%20Algorithm%20for%20t-way%20Test%20Data%20Generation1.pdf
first_indexed	2023-09-18T22:28:19Z
last_indexed	2023-09-18T22:28:19Z
_version_	1777416116329512960

Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation

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