The research field of Conceptual Modelling identifies models as artefacts describing a real or proposed system on an abstraction level that is adequate for a given purpose. Consequently, it is essential to consider how such conceptual representations are developed and used in relation to the purpose and with the help of appropriate tooling. This tutorial focuses on the Bee-Up multi-language modeling environment and some key features that increase the value of models beyond their basic function (of diagrammatic documentation / communication support).

Hands-on Artefact-Centric Business Process Modelling with MERODE

Artefact-centric business process modelling was proposed by IBM in their BALSA framework in 2008. Since then, it has gained interest as a way to achieve data-aware process modelling, e.g. as proposed in the Philharmonics Framework. This tutorial will first review the basic components of the BALSA-framework and the Philharmonics Framework.

Enterprises of the future will be complex system of systems of socio-cyber-physical actors, that operate in dynamic and uncertain environments. They will need to continue delivering on their goals in the face of unforeseen changes and events (such as global pandemics) along multiple dimensions. The goals they aim to meet are also likely to evolve rapidly as enterprises look to exploit opportunities as they emerge in their ever changing environment.

The Digital Transformation (DT) concerns the adoption of digital technology to sell products and services by replacing traditional channels and processes with digital ones. The DT has taken multiple forms in the last years and the recent Covid-19 pandemic also acted as an accelerator for the online business activities.

About BES

Nowadays, in an interconnected society, there is a growing need for coordination among different organisations, asking for trustable solutions to develop enterprise systems.
Enterprise architectures integrate well-defined principle and practice for the analysis, design, planning, and implementation, for the successful development and execution of enterprise systems. To achieve an effective digital transformation, the organizations need to close the gap between business, information, processes and technology necessary to achieve their final strategy.