Dynamic adaptors to support model-driven interoperability and enhance sensing enterprise networks

In an increasingly complex environment, the enterprises of the future should become Sensing Enterprises, evidencing intelligent, dynamic and self-organizing capabilities for understanding and responding to the shifts that impact the networks they belong to. Reconfiguration and reprioritization of industrial processes, information models, and even terminology is now seen as a requirement for survivability, which means that software systems need to become more agile. Hence, software adaptor technologies such as the ATLAS Transformation Language (ATL) are gaining momentum due to the potential to define and regulate peer-to-peer communication among networks of enterprise systems. At present, ATL is the de facto standard for transformations within the framework of model-driven interoperability (MDI), nonetheless it lacks the dynamism required to streamline complex systems, which demand adaptors to be frequently redesigned whenever information models change. This paper presents a novel solution, which aims to reduce the setbacks that arise from this lack of dynamism.