Mutation-based Test Data Generation for Simulink Models using Genetic Algorithm and Simulated Annealing

Download Now
Provided by: International Journal of Computer and Information Technology (IJCIT)
Topic: Software
Format: PDF
Software testing is costly, labor intensive and time consuming. Modern testing requires faults to be discovered at the earliest possible stages to decrease the cost of fixing errors in software development process. Thus, high level models such as Simulink models have become the focus of much verification effort and research. Mutation testing is a powerful and effective testing technique in terms of process automation and faults detection. Test case generation for Simulink that achieves a high mutation score is complicated.
Download Now

Find By Topic