Abstract
Data interoperability implies setting up 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. With the aim to assess the level of data interoperability among information systems, we present in this work the establishment of an analysis system where we exploit services provided by RabbitMQ, a messaging-based communication mean, in order to collect information about IS interactions. We propose a Messaging Metamodel that aggregates the information collected from RabbitMQ. It provides a single point of control and enables depicting indicators about potential interoperability problems. This work 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.
Published Version
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