Environment Modeling for Automated Testing of Cloud Applications

Recently, cloud computing platforms, such as Microsoft Azure, are available to provide convenient infrastructures such that cloud applications could conduct cloud and data-intensive computing. To ensure high quality of cloud applications under development, developer testing (also referred to as unit testing) could be used. The behavior of a unit in a cloud application is dependent on the test inputs as well as the state of the cloud environment. Generally, manually providing various test inputs and cloud states for conducting developer testing is time-consuming and labor-intensive. To reduce the manual effort, developers could employ automated test generation tools.