Model-Based Testing Approach for Financial Technology Platforms: An Industrial Implementation

This paper looks at the industrial experience of using automated model-based approach for the black-box 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 reflects a selection of the system under tests properties and serves to generate expected results from the input (built based on the specifications). Models are created in Python which provides flexibility for describing complex financial systems behaviors. Models are integrated into the Exactpro’s th2 test automation framework, and expected results from the system under test and model are compared automatically.