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TBat: A Novel Strategy for Minimization of T-Way Interaction Test Suite Based on the Particle Swarm Optimization and the Bat Algorithm

Kamal Z., Zamli and Alsariera, Yazan A. (2016) TBat: A Novel Strategy for Minimization of T-Way Interaction Test Suite Based on the Particle Swarm Optimization and the Bat Algorithm. In: The Invention & New Product Exposition (INPEX) 2016, 7-9 June 2016 , Pittsburgh, United States of America. p. 1..

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Abstract

Our continuing dependencies on software raise issues of reliability. Lack of testing can lead to disastrous consequences including loss of data, loss of fortunes as well as loss of lives. For these reasons, many combinations of possible input parameters, hardware/software environments, and system conditions need to be checked against for conformance based on the system’s specification. Often, this results into combinatorial explosion of test cases. This project develops a novel strategy to minimize the test consideration using the Particle Swarm Optimization and the Bat Algorithm.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Bat Algorithm; T-Way Test
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 02 Nov 2017 06:41
Last Modified: 02 Nov 2017 06:41
URI: http://umpir.ump.edu.my/id/eprint/18943
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