Localised mutation in evolutionary test model learning

摘要

The focus of this paper is on automation of test case design via model-based testing for automotive embedded software. A method based on an evolutionary algorithm for acquiring the necessary test model automatically from sample test cases and additional sources of information is described. In an experiment the impact of localised mutational changes on the evolutionary learning method is investigated.