The Deployment of an Enhanced Model-Driven Architecture for Business Process Management

Abstract

Business systems these days need to be agile to address the needs of a changing world. Business modelling requires business process management to be highly adaptable with the ability to support dynamic workflows, inter-application integration (potentially between businesses) and process reconfiguration. Designing systems with the in-built ability to cater for evolution is also becoming critical to their success. To handle change, systems need the capability to adapt as and when necessary to changes in users' requirements. Allowing systems to be self-describing is one way to facilitate this. Using our implementation of a self-describing system, a socalled description-driven approach, new versions of data structures or processes can be created alongside older versions providing a log of changes to the underlying data schema and enabling the gathering of traceable ("provenance") data. The CRISTAL software, which originated at CERN for handling physics data, uses versions of stored descriptions to define versions of data and workflows which can be evolved over time and thereby to handle evolving system needs. It has been customised for use in business applications as the Agilium-NG product. This paper reports on how the Agilium-NG software has enabled the deployment of an unique business process management solution that can be dynamically evolved to cater for changing user requirement.

A Model to Enable the Reuse of Metadata-Based Frameworks in Adaptive Object Model Architectures

“…The relevance about studies about AOM can be confirmed by some recent works found in the literature that used directly or were based on this architectural style, such as for economy mechanics in digital games [3], model-driven architectures [4], [5], data evolution in digital ecosystems [6], meta-modeling architectures [7], and creating dynamic web services [8], [9]. But besides this architectural style is still applied, to the best of our knowledge, except for our previous work with Esfinge AOM Role Mapper [38]- [40], there are no other works in the last five years that focused on advances for the design of AOM architectures.…”

“…Several more recent studies employed AOM concepts for several applications and domains, such as for economy mechanics in digital games [3], model-driven architectures [4], [5], data evolution in digital ecosystems [6], meta-modeling architectures [7], and dynamic web services [8], [9]. That can be considered an evidence that this architectural style is still relevant and applied in recent works.…”