모델 기반 평가 방법을 이용한 지능형자동차 기능의 평가 자동화에 관한 연구

Model-based testing is a kind of black box testing that test suites are derived from behavioral model of SUT through test case generation and execute test suites automatically by model-based testing tool. A model-based testing tool uses various test generation algorithms and criteria to generate test cases. The behavioral model of SUT has to be concise enough to write and validate. Also, be precise enough to specify the behavior which is to be tested. Test cases can be generated automatically from the model and test engineer can control testing and maintain test cases easily. The abstract test cases have to be transformed into executable test cases with more specific information about SUT. Test selection criteria and lots of test generation strategies are commonly used in model-based testing. The complementary of these are key point of model-based testing. For this purpose, several state-based models are developed and test suites which derived from various test generation strategies, especially focused on transition coverage, are performed. Also, testing performances are discussed for test coverage of each test suite.