Test data to reduce the complexity of unit test automation

Abstract

In order to automatically test large and complex software systems, a well defined test process and a huge amount of test data are needed. When it comes to test automation, the quality of test data always plays a significant role by reducing the cost and the time required for the test activities. In this work, we follow the principle of "Quality of the test cases comes before Quantity" to show how the right selection of test data helps to address the goal of qualitative testing while optimizing the test effort needed.