Inferring data model from service interactions for response generation in service virtualization

Abstract

Context: Service virtualization has become a popular tool to provide testing environments for highly connected enterprise software systems. It enables the enterprise system under test to interact with and obtain responses from model-based service emulations instead of the actual services they use in production environments, providing accessibility and realness. Existing approaches consider only the control dependencies between messages (i.e., the service’s control model) and do not consider the relationships between data values of the messages (i.e., the service’s data model), limiting the accuracy of service emulation.