Luba Konnova, Ivan Scherbinin, Vyacheslav Okhlopkov, Levan Gharibashvili, Mariam Mtsariashvili and Tiniko Babalashvili, Exactpro
This paper looks at the industrial experience of using automated model-based approach for the testing of trading systems. The approach, used by Exactpro, is described using two existing taxonomies. Then, the main future applications of the models in the test automation paradigm are outlined. In our approach a model is kind of a virtual replica of the test system generating expected results from the input (built based on the specifications). Models are created in python which provides flexibility of describing complex financial systems behaviors. Models are integrated into the Exactpro th2 test automation framework, and expected results from the system under test and model are compared automatically.