Abstract: Technology is described for generating tests to execute against a process. The method can include identifying a data store of input operation requests for the process, and the input operation requests are recorded for requests received to operate functionality of the process. Another operation can be training a deep neural network model using the input operation requests to enable the deep neural network model to generate output series based in part on the input operation requests. Test series can be generated using the deep neural network model. The test series are executable to activate functionality of the process in order to test portions of the process. A further operation may be executing the test series on the process in order to test functionality of the process.