An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms

Alsewari, Abdulrahman A. and Kamal Z., Zamli (2014) An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms. In: The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering, 291 . Springer, Singapore, pp. 255-263. ISBN 978-981-4585-41-5 (print); 978-981-4585-42-2 (online)

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Abstract

The test case construction is amongst the most labor-intensive tasks and has significant influence on the effectiveness and efficiency in software testing. Due to the market needed for diverse types of tests, recently, several number of t-way testing strategies (where t indicates the interaction strengths) have been developed adopting different approaches Algebraic, Pure computational, and Optimization Algorithms (OpA). This paper presents an orchestrated survey of the existing OpA t-way strategies as Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Algorithm (ACA), Particle Swarm Optimization based strategy (PSTG), and Harmony Search Strategy (HSS). The results demonstrate the strength and the limitations of each strategy, thereby highlighting possible research for future work in this area.

Item Type:	Book Chapter
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Dr. AbdulRahman Ahmed Mohammed Al-Sewari
Date Deposited:	10 Oct 2014 08:32
Last Modified:	15 Jan 2018 07:41
URI:	http://umpir.ump.edu.my/id/eprint/6917
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