Analysis of Data Exchanges, Contribution to Data Interoperability Assessment

Data interoperability implies data exchanges among intra and inter enterprises collaborating Information Systems (IS). The multiplicity of these exchanges generates complexity and brings out control needs that can be handled by establishing monitoring and analysis systems. We present in this paper a work in progress where we exploit services provided by RabbitMQ, a messaging based communication mean, in order to collect information about IS interactions allowing to assess their level of data interoperability. We propose a Messaging Metamodel that aggregates the collected information. It provides a single point of control and enables depicting indicators about potential interoperability problems. This paper also presents the use of Moose, a software analysis platform, to implement data interoperability related indicators, queries and visualizations. An industrial case study of interactions among existing systems is presented to showcase the feasibility and the interest of our approach.