Oct 22, 2024 · This research explores a new approach for using genetic algorithms as test data generators to execute all the branches in a program. ... The new ...
Oct 24, 2010 · This research explores a new approach for using genetic algorithms as test data generators to execute all the branches in a program.
This research explores a new approach for using genetic algorithms as test data generators to execute all the branches in a program. ... The new approach utilizes ...
This research explores a new approach for using genetic algorithms as test data generators to execute all the branches in a program. ... The new approach utilizes ...
Alshraideh, M., & Bottaci, L. (2006). Automatic software test data generation for string data using heuristic search with domain specific search operators.
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In this paper, we establish a mathematical model of generating test data for multiple paths coverage. Then, a multipopulation genetic algorithm with individual ...
Finally, we employ a multi-population genetic algorithm (MGA) to generate test data. Our experiments, performed on six MPI programs of varying sizes and ...
In this paper we present a. Genetic Algorithm-based approach that tries to generate a set of test data that is expected to cover a given set of target paths.
This paper analyzes the performance of proposed uniform crossover multi population genetic algorithm method with different combinations of factors that ...
Finally, we design a parallel genetic algorithm based on multi-population, the algorithm has high execution efficiency and coverage for the test cases generated ...