Mastercard Incorporated
Generating a virtualized stub service using deep learning for testing a software module

Abstract:

The disclosure herein describes generating a virtualized stub service based on deep learning for use in simulating a service during testing of a software module configured to interact with the service. Request-response pairs between the software module and the service are captured by an interceptor module, each request-response pair including a request and a response to the request. The captured request-response pairs are added to a training data set. A service virtualization engine trains a request categorization model based on the training data set, wherein the request categorization model is trained to respond to requests with responses based on the request-response pairs of the training data set. Then, a virtualized stub service is generated for the service based on the trained request categorization model. The disclosure provides for automatic generation of virtualized stub services using deep learning techniques for use in testing software modules.