Test Data Generation for Validation and Testing using Genetic Algorithm

Software testing is always a time-consuming process with no clear results, but it is just as important as any other phase of software development. One of the main topics of testing is the development of initial test data. This allows you to fully evaluate your program code and find the most important parts of your program. Smart technologies, especially genetic algorithms, allow us to define initial datasets from which we can evaluate the values of variables for qualitative tests. In this article, we propose a procedure for possible integration of genetic algorithms with test data generation systems.