An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation

• Main Authors: Kamal Z., Zamli, Fakhrud, Din, Kendall, Graham, Ahmed, Bestoun S.
• Format: Article
• Language: English
• Published: Elsevier Ltd 2017
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/14604/2/An%20experimental%20study%20of%20hyper-heuristic%20selection%20and%20acceptance%20mechanism%20for%20combinatorial%20t-way%20test%20suite%20generation%201.pdf; http://umpir.ump.edu.my/id/eprint/14604/; http://doi.org/10.1016/j.ins.2017.03.007
• Institution: Universiti Malaysia Pahang

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 Optimizati...