NEXT: Generating tailored ERP applications from ontological enterprise models
Van Der Schuur, Henk; Van De Ven, Erik; De Jong, Rolf; Schunselaar, Dennis; Reijers, Hajo A.; Overeem, Michiel; De Graaf, Machiel; Jansen, Slinger; Brinkkemper, Sjaak
(2017)
The Practice of Enterprise Modeling, volume 305, pp. 283 - 298
Lecture Notes in Business Information Processing, volume 305, pp. 283 - 298
10th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling, PoEM 2017, volume 305, pp. 283 - 298
(Part of book)
Abstract
Tailoring Enterprise Resource Planning (ERP) software to the needs of the enterprise still is a technical endeavor, often requiring the (de)activation of modules, modification of configuration files or even execution of database queries. Considering the large body of work on Enterprise Modeling and Model-Driven Software Engineering, this is remarkable: Ideally,
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one models one’s own enterprise and, at the press of a button, ERP software tailored to the needs of the modeled enterprise is generated. In this paper, we introduce NEXT, a novel model-driven software generation approach being developed with precisely this goal in mind. It uses the expressive power of ontological enterprise models (OEMs) to generate ERP cloud applications. An OEM only describes the real-world phenomena essential to the enterprise, using terms and customizations specific to the enterprise. We present our considerations during development of the OEM modeling language, which is designed to capture the specifics of enterprise phenomena in a way that technical details can be derived from it. We expect NEXT to drastically shorten the time-to-market of ERP software, from months–years to hours–days.
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Keywords: Enterprise resource planning, Model-driven software development, Ontological enterprise modeling, Software generation, Taverne, Management Information Systems, Control and Systems Engineering, Business and International Management, Information Systems, Modelling and Simulation, Information Systems and Management
ISSN: 1865-1348
ISBN: 9783319702407
Publisher: Springer
Note: Funding Information: Acknowledgements. This paper was supported by the NWO AMUSE project (628. 006.001): a collaboration between Vrije Universiteit Amsterdam, Utrecht University, and AFAS Software in the Netherlands. Funding Information: This work is a result of the AMUSE project. See www.amuse-project.org. This paper was supported by the NWO AMUSE project (628. 006.001): a collaboration between Vrije Universiteit Amsterdam, Utrecht University, and AFAS Software in the Netherlands. Publisher Copyright: © IFIP International Federation for Information Processing 2017.
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