Study & Analysis For Software Test-Data Generation using Genetic_Algorithm for a Use Case

Abstract — Genetic_Algorithms (GAs) have been considered to automate the generation of test-data for developed software in an efficient & quick manner for the various domain developed software. Genetic_Algorithms (GAs) are adaptive search techniques that improves the software testing technique to improve the testing-automation problems when traditional methods are considered too complex and time consuming. The concept of genetic_algorithms is used to optimize the automated generation of test-cases with the testing output effectiveness. A use case is studied by using Genetic Algorithms (GAs) based testing tool which generates the tests cases in an automated fashion. It is discussed that Genetic_Algorithms ( GAs) are used to generate test cases automatically & efficiently using Genetic_Algorithms ( GAs) based test generator. The major benefit in developed software program testing is its automation and easy to get results along with the quality output. This paper discusses that Genetic_Algorithms ( GAs) are useful in reducing the long testing time (TT) by generating automatic test-cases using Genetic_Algorithms ( GAs) based test generator