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
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Abstract
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.
Item Type: | Conference or Workshop Item (Speech) |
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Uncontrolled Keywords: | Software Testing, T-way Test Suite Generation, Harmony Search, Flower Pollination Algorithm, Flower Strategy |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Faculty/Division: | Faculty of Computer System And Software Engineering |
Depositing User: | Mrs. Neng Sury Sulaiman |
Date Deposited: | 19 May 2016 01:47 |
Last Modified: | 18 Oct 2018 04:08 |
URI: | http://umpir.ump.edu.my/id/eprint/6675 |
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