UMP Institutional Repository

An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation

Abdullah, Nasser and Hujainah, Fadhl and Al-Sewari, Abdulrahman A. and Kamal Z., Zamli (2020) An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation. In: Emerging Trends in Intelligent Computing and Informatics. IRICT 2019, 22-23 September 2019 , Johor Bahru, Johor, Malaysia. pp. 352-361., 1073. ISBN 978-3-030-33582-3

Full paper IRICT2019-IJA -3_1.pdf - Accepted Version

Download (686kB) | Preview


In the field of software testing, several meta-heuristics algorithms have been successfully used for finding an optimized t-way test suite (where t refers to covering level). T-way testing strategies adopt the meta-heuristic algorithms to generate the smallest/optimal test suite. However, the existing t-way strategies’ results show that no single strategy appears to be superior in all problems. The aim of this paper to propose a new variant of Jaya algorithm for generating t-way test suite called Improved Jaya Algorithm (IJA). In fact, the performance of meta-heuristic algorithms highly depends on the intensification and diversification ca-pabilities. IJA enhances the intensification and diversification capabilities by in-troducing new operators search such lévy flight and mutation operator in Jaya Algorithm. Experimental results show that the IJA variant improves the results of original Jaya algorithm, also overcomes the problems of slow convergence of Ja-ya algorithm.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Part of the Advances in Intelligent Systems and Computing book series; Indexed by Scopus
Uncontrolled Keywords: T-way testing, Meta-heuristics, Jaya Algorithm, improved Jaya Algorithm
Subjects: T Technology > T Technology (General)
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Dr. Abdullah Nasser Mohammed Abdullah
Date Deposited: 10 Jan 2020 03:52
Last Modified: 20 Jan 2020 03:02
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item