Abstract: In orthodox software testing approach we generally use modeling based testing approach for generating the test cases of a given problem.

Evolutionary algorithms have a significant role in the automatic test generation and many researchers are focusing on it. In this study explored software.

The aim of test cases is to find the errors in the program. Genetic Algorithm is heuristic methods used for the optimization of test cases. GA is an iterative ...

Nov 30, 2021 · Classic genetic algorithms perform well in generating suitable test sets, however, they are highly time consuming.

May 23, 2022 · Panda, “Efficient software test case generation using genetic algorithm based graph theory,” in Proceedings of the 2008 First International ...

Mar 1, 2021 · This paper discusses genetic algorithms that can automatically generate test cases to test selected path. This algorithm takes a selected ...

This paper presents a set of methods that uses a genetic algorithm for automatic test-data generation in software testing. For several years researchers ...

The genetic algorithm (GA) is a popular and efficient search-based technique for test case generation. GAs have been widely used to create suitable test cases ...

Efficient test cases are those test cases which not only uncover maximum numbers of errors but also traverse all the paths of the program. So to deal with both ...

May 23, 2022 · A branch coverage test case automatic generation method based on genetic algorithm and RBF neural network algorithm (GAR) is proposed.