Abstract
The application of meta-heuristic algorithms for t-way testing has recently become prevalent. Consequently, many useful meta-heuristic algorithms have been developed on the basis of the implementation of t-way strategies (where t indicates the interaction strength). Mixed results have been reported in the literature to highlight the fact that no single strategy appears to be superior compared with other configurations. The hybridization of two or more algorithms can enhance the overall search capabilities, that is, by compensating the limitation of one algorithm with the strength of others. Thus, hybrid variants of the flower pollination algorithm (FPA) are proposed in the current work. Four hybrid variants of FPA are considered by combining FPA with other algorithmic components. The experimental results demonstrate that FPA hybrids overcome the problems of slow convergence in the original FPA and offers statistically superior performance compared with existing t-way strategies in terms of test suite size.
Highlights
Many aspects of software engineering deal with optimization problems
The results show that elitism FPA (eFPA) produces superior results compared with the other variants of flower pollination algorithm (FPA)
EFPA is separately compared with each existing strategy to test if a significant difference exists between the produced results of the proposed strategy and those of the other strategies
Summary
Many aspects of software engineering (e.g., requirements, management, testing, and refactoring) deal with optimization problems. Hybrid flower pollination algorithm can exponentially increase computational time and problem complexity To address this issue, many studies have adopted meta-heuristic algorithms on the basis of their implementation, including TS [13], SA [13], GA [13,14], CA [14], PSO [15], HS [16], and CS [17]). Many studies have adopted meta-heuristic algorithms on the basis of their implementation, including TS [13], SA [13], GA [13,14], CA [14], PSO [15], HS [16], and CS [17]) In accordance with the aforementioned prospects, this paper presents hybrid variants of strategies for t-way test suite generation on the basis of a new meta-heuristic called the FPA [8].
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