Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World

The main purpose of software testing is to detect software failures to ensure that that a product functions work as expected. Therefore there is need to test hug possible number of input combinations. T-way testing is a sampling approach to minimize input combinations. Recently, adapting optimizatio...

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Main Authors:	Nasser, Abdul B., Alsewari, Abdulrahman A., Mu’azu, Aminu A., Kamal Z., Zamli
Format:	Conference or Workshop Item
Language:	English English
Published:	Global Illuminators 2016
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/6675/ http://umpir.ump.edu.my/id/eprint/6675/ http://umpir.ump.edu.my/id/eprint/6675/1/Comparative%20Performance%20Analysis%20of%20Flower%20Pollination%20Algorithm%20and%20Harmony%20Search%20based%20strategies-%20A%20Case%20Study%20of%20Applying%20Interaction%20Testing%20in%20the%20Real%20World.pdf http://umpir.ump.edu.my/id/eprint/6675/7/fskkp-2016-alsewari-Comparative%20Performance%20Analysis%20of%20Flowe.pdf

id	ump-6675
recordtype	eprints
spelling	ump-66752018-10-18T04:08:42Z http://umpir.ump.edu.my/id/eprint/6675/ Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World Nasser, Abdul B. Alsewari, Abdulrahman A. Mu’azu, Aminu A. Kamal Z., Zamli QA76 Computer software The main purpose of software testing is to detect software failures to ensure that that a product functions work as expected. Therefore there is need to test hug possible number of input combinations. T-way testing is a sampling approach to minimize input combinations. Recently, adapting optimization algorithm for T-way testing is very interested. As a consequence, many t-way optimization algorithm based strategies have been designed and implemented. In order to guide software tester to choose the best software testing strategy, there is a need to evaluate and benchmark the performance of each strategy against common case studies. In this paper, we present a comparison between two strategies, Harmony Search (HS) and Flower Pollination Algorithm (FPA) based strategies. Our experiments have performed on a real-world case study. Experiments results demonstrate that the performance is almost the same for both strategies and there is no one strategy can always be the best; however HS-based strategy performs better than FPA-based in many cases. Global Illuminators 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6675/1/Comparative%20Performance%20Analysis%20of%20Flower%20Pollination%20Algorithm%20and%20Harmony%20Search%20based%20strategies-%20A%20Case%20Study%20of%20Applying%20Interaction%20Testing%20in%20the%20Real%20World.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/6675/7/fskkp-2016-alsewari-Comparative%20Performance%20Analysis%20of%20Flowe.pdf Nasser, Abdul B. and Alsewari, Abdulrahman A. and Mu’azu, Aminu A. and Kamal Z., Zamli (2016) Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World. In: Proceeding Book: 2nd International Conference on New Directions in Multidisciplinary Research & Practice, 12-13 May 2016 , Istanbul, Turkey. pp. 1-5.. ISSN 2325-0887 ISBN 978-969-9948-47-3 doi: 10.5296/ijele.v2i2.6266
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Nasser, Abdul B. Alsewari, Abdulrahman A. Mu’azu, Aminu A. Kamal Z., Zamli Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World
description	The main purpose of software testing is to detect software failures to ensure that that a product functions work as expected. Therefore there is need to test hug possible number of input combinations. T-way testing is a sampling approach to minimize input combinations. Recently, adapting optimization algorithm for T-way testing is very interested. As a consequence, many t-way optimization algorithm based strategies have been designed and implemented. In order to guide software tester to choose the best software testing strategy, there is a need to evaluate and benchmark the performance of each strategy against common case studies. In this paper, we present a comparison between two strategies, Harmony Search (HS) and Flower Pollination Algorithm (FPA) based strategies. Our experiments have performed on a real-world case study. Experiments results demonstrate that the performance is almost the same for both strategies and there is no one strategy can always be the best; however HS-based strategy performs better than FPA-based in many cases.
format	Conference or Workshop Item
author	Nasser, Abdul B. Alsewari, Abdulrahman A. Mu’azu, Aminu A. Kamal Z., Zamli
author_facet	Nasser, Abdul B. Alsewari, Abdulrahman A. Mu’azu, Aminu A. Kamal Z., Zamli
author_sort	Nasser, Abdul B.
title	Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World
title_short	Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World
title_full	Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World
title_fullStr	Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World
title_full_unstemmed	Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World
title_sort	comparative performance analysis of flower pollination algorithm and harmony search based strategies: a case study of applying interaction testing in the real world
publisher	Global Illuminators
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/6675/ http://umpir.ump.edu.my/id/eprint/6675/ http://umpir.ump.edu.my/id/eprint/6675/1/Comparative%20Performance%20Analysis%20of%20Flower%20Pollination%20Algorithm%20and%20Harmony%20Search%20based%20strategies-%20A%20Case%20Study%20of%20Applying%20Interaction%20Testing%20in%20the%20Real%20World.pdf http://umpir.ump.edu.my/id/eprint/6675/7/fskkp-2016-alsewari-Comparative%20Performance%20Analysis%20of%20Flowe.pdf
first_indexed	2023-09-18T22:02:40Z
last_indexed	2023-09-18T22:02:40Z
_version_	1777414502092898304

Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World

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