Steps towards model-based, inference-driven SOA Testing
Résumé
This paper reports the progress of a project whose goal is to develop a model-driven, contract-based SOA testing environment in which grey-box test strategies for large services architectures are driven by stochastic inference. In order to achieve this goal, a Bayesian network is built directly by mapping and model transformation from the services architecture models (MDA approach). As services architectures are complex and large systems, the generated BN and its associated probability tables may also be very large. Nevertheless, the structure of the services architecture, of its design and test models suggests that techniques of compilation of the inference tasks will allow using the BN as a sustainable tool for driving the troubleshooting strategy for large scale systems.