An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation

Zamil, Kamal Z. and Din, Fakhrud and Kendall, Graham and Ahmed, Bestoun S. (2017) An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation. Information Sciences, 399 . pp. 121-153. ISSN 0020-0255

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Abstract

Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t -way test generation strategy (where t indicates the interaction strength) including Genetic Algorithms (GA), Ant Colony Optimization (ACO), Simulated Annealing (SA), Cuckoo Search (CS), Particle Swarm Optimization (PSO), and Harmony Search (HS). Although useful, metaheuristic algorithms that make up these strategies often require specific domain knowledge in order to allow effective tuning before good quality solutions can be obtained. Hyperheuristics provide an alternative methodology to meta-heuristics which permit adaptive selection and/or generation of meta-heuristics automatically during the search process. This paper describes our experience with four hyper-heuristic selection and acceptance mechanisms namely Exponential Monte Carlo with counter (EMCQ), Choice Function (CF), Improvement Selection Rules (ISR), and newly developed Fuzzy Inference Selection (FIS),using the t -way test generation problem as a case study. Based on the experimental results, we offer insights on why each strategy differs in terms of its performance.

Item Type: Article
Keywords: Software testing ; t-way testing ; Hyper-heuristics ; Meta-heuristics ; Fuzzy Inference Selection
Schools/Departments: University of Nottingham, Malaysia > Faculty of Science > School of Computer Science
University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: 10.1016/j.ins.2017.03.007
Depositing User: Kendall, Graham
Date Deposited: 05 Feb 2018 11:15
Last Modified: 08 Mar 2018 17:27
URI: http://eprints.nottingham.ac.uk/id/eprint/49538

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