The Application of Meta-Heuristic Algorithms in Automatic Software Test Case Generation
Автор: Maryam Mirzapour Moshizi, Amid Khatibi Bardsiri
Журнал: International Journal of Mathematical Sciences and Computing(IJMSC) @ijmsc
Статья в выпуске: 3, 2015 года.
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Nowadays, software test is one of the most important activities that software's quality will be certified by it. Test operation includes program's implement on test case set and comparison of results with expected one. Manual test case for operation test program and error detect is time consuming with insufficient precision and complicated coverage of program, so, the use of algorithms in automatic test case generation has been considered. Meta-heuristic algorithms are known tools which are optimized and used in test case generation. Most of complicated matters need a lot of possible states assessment in order to reach the valid answer. With the proper answer, test case optimization and meta-heuristic algorithms play a constructive role. In this paper we would compare methods and their traits, and the software test case generation methods based on meta-heuristic algorithms with their description.
Test Case Generation, Meta-Heuristic Algorithms, Software Test Case
Короткий адрес: https://sciup.org/15010119
IDR: 15010119
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