Towards Model-driven Evolvability of Enterprise Information Systems

Meijler, Theo Dirk; Postmus, Douwe; Wortmann, Hans

doi:10.1109/edoc.2006.62

Cited by 1 publication

(1 citation statement)

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“…In most MDD approaches, process and data models are kept separately on purpose, in order to change one without affecting the other. As a result, interdependencies are not explicitly described or identified in current MDD languages (France et al, 2006;Meijler et al, 2006). However, as a result of the natural interdependencies between processes and data, a change in the process model may affect the data model.…”

Section: Bespoke Flexibilitymentioning

confidence: 99%

A Vision for Agile Model-Driven Enterprise Information Systems

Beest¹,

Szirbik²,

Wortmann³

2009

Proceedings of the 11th International Conference on Enterprise Information

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Current model-driven techniques claim to be able to generate Enterprise Information Systems (EISs) based on enterprise models. However, these techniques still lack-after the initial deployment-the long-time desired flexibility, which allows that a change in the model can be immediately and easily reflected in the EIS. Interdependencies between models are insufficiently managed, requiring a large amount of human intervention to achieve and maintain consistency between models and the EIS. In this position paper a vision is presented, which describes how model-driven change of EISs should be structured in a coherent framework that allows for monitoring of interdependencies during model-driven change. Therefore, proposing fully automated consistency and pattern checks, the presented agile model-driven framework will reduce the amount of required human interventions during change. As a result, the cost and time span of model-driven EIS change can be reduced, thereby improving organizational agility.

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Section: Bespoke Flexibilitymentioning

confidence: 99%