Application of Genetic Algorithm in Automatic Software Testing

Crow Search Algorithm with Improved Objective Function for Test Case Generation and Optimization

“…The results of experiments reveal significantly better coverage percentages during the search, still difficult to get the targeted path. Babamir FS et al [4] proposed a GA based testing technique to automate test data generation using different parameters for structural-oriented program structure. The FF proposed by the authors tries to cover program paths maximum possible way but does not achieve the targeted path.…”

“…For developing test cases automatically, Search-Based Testing (SBT) is considered. There have been meta-heuristic techniques effectively utilized in the development of test data, including Genetic Algorithms (GA) [3,4], Ant Colony Optimization(ACO) [5,6], Particle Swarm Optimization (PSO) [7,8], Artificial Bee Colony (ABC) [9,10], hybrid Genetic Algorithm [11], Bat Algorithm [12,13]. Fitness functions (FF) drive a metaheuristic algorithm search process.…”

Review of Genetic Algorithm and Application in Software Testing

“…S. Babamir et al [79] investigated the application of genetic algorithm based tester using different parameters to automate the structural oriented test data generation on the principle of internal program structure.…”

An Interactive Genetic Algorithm for Mobile Sensor Networks

“…Fitter individuals are similarly rated, leading to the preferential selection of the best solution. Most of the fitness functions are designed with a stochastic part to choose some smaller, less fit members, in order to help maintain the diversity of the population [15]. Among several available selection methods, the Roulette Wheel was chosen to distinguish appropriate individuals, with a probability given by:…”