Combinatorial Test Suites Generation Strategy Utilizing the Whale Optimization Algorithm

Filtering TOBIAS Combinatorial Test Suites

TOBIAS is a combinatorial testing tool, aimed at the production of large test suites. In this paper, TOBIAS is applied to conformance tests for model-based specifications (expressed with assertions, pre and post-conditions) and associated implementations. The tool takes advantage of the executable character of VDM or JML assertions which provide an oracle for the testing process. Executing larg...

Model-Based Filtering of Combinatorial Test Suites

Tobias is a combinatorial test generation tool which can efficiently generate a large number of test cases by unfolding a test pattern and computing all combinations of parameters. In this paper, we first propose a model-based testing approach where Tobias test cases are first run on an executable UML/OCL specification. This animation of test cases on a model allows to filter out invalid test s...

Efficient Algorithms for Generation of Combinatorial Covering Suites

Combinatorial Test Case Suite Generation Based on Differential Evolution Algorithm

The combinatorial testing, an effective way to improve the efficiency of software testing, is an important means to ensure the quality of software. In the combinatorial testing, the key is the combinatorial test case suite generation. According to the characteristics of the combinatorial test case suite generation problem, this paper proposes a differential evolution algorithm based on the one-...

Whale Swarm Algorithm for Function Optimization

Increasing nature-inspired metaheuristic algorithms are applied to solving the real-world optimization problems, as they have some advantages over the classical methods of numerical optimization. This paper has proposed a new nature-inspired metaheuristic called Whale Swarm Algorithm for function optimization, which is inspired by the whales’ behavior of communicating with each other via ultras...