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Virtualizing Networks of Software Services

Service Virtualization made easy through machine-learning: Virtualize software services for unknown protocols without using expert knowledge. Using a combination of algorithms adapted from gene sequence and data mining, we automatically extract service protocol models. Service inter-dependency modelling adds further realism for complex communication patterns. To complete the modelling process we bring the human into the loop – by allowing software engineers to customize the machine derived service models through a domain specific language (DSL).

Project Partners

Swinburne University of Technology

Melbourne University