Validation of Control Software by Search-Based Testing Using Formal Methods 2016-01-0034
As vehicle control software becomes larger and more complex, it is increasingly important to improve the efficiency of the software development process. This study developed search-based testing technology to increase the efficiency of the validation process. Search-based testing can generate dynamic test data automatically, but it tends to overlook the generation of correct test data to detect problems when the software has many branches and paths. To resolve this problem, a method was devised that combines search-based testing  and formal methods such as model checking. This paper describes this method and shows application examples of engine control.