Automated test data generation using a scatter search approach

R Blanco, J Tuya, B Adenso-Díaz - Information and Software Technology, 2009 - Elsevier
Information and Software Technology, 2009Elsevier
The techniques for the automatic generation of test cases try to efficiently find a small set of
cases that allow a given adequacy criterion to be fulfilled, thus contributing to a reduction in
the cost of software testing. In this paper we present and analyze two versions of an
approach based on the scatter search metaheuristic technique for the automatic generation
of software test cases using a branch coverage adequacy criterion. The first test case
generator, called TCSS, uses a diversity property to extend the search of test cases to all …
The techniques for the automatic generation of test cases try to efficiently find a small set of cases that allow a given adequacy criterion to be fulfilled, thus contributing to a reduction in the cost of software testing. In this paper we present and analyze two versions of an approach based on the scatter search metaheuristic technique for the automatic generation of software test cases using a branch coverage adequacy criterion. The first test case generator, called TCSS, uses a diversity property to extend the search of test cases to all branches of the program under test in order to generate test cases that cover these. The second, called TCSS-LS, is an extension of the previous test case generator which combines the diversity property with a local search method that allows the intensification of the search for test cases that cover the difficult branches. We present the results obtained by our generators and carry out a detailed comparison with many other generators, showing a good performance of our approach.
Elsevier
以上显示的是最相近的搜索结果。 查看全部搜索结果