Cognitive service virtualisation: An automatic and adaptive method to virtualise software services

Software services communicate with different requisite services over the computer network to accomplish their tasks. The requisite services may not be readily available to test a specific service. Thus, service virtualisation has been proposed as an industry solution to ensure availability of the interactive behaviour of the requisite services. However, the existing techniques of virtualisation cannot satisfy the required accuracy or time constraints to keep up with the competitive business world. These constraints sacrifices quality and testing coverage, thereby delaying the delivery of software. We proposed a novel technique to improve the accuracy of the existing service virtualisation solutions without sacrificing time. This method generates the service response and predicts fields in virtualised responses, extending existing research with lower complexity and higher accuracy. The experimental evaluation illustrates that the proposed approach can generate responses with the required fields and accurate values for both categorical and numerical fields over four data sets with stateful nature.