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, 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.
Original language | English |
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Title of host publication | The Practice of Enterprise Modeling |
Subtitle of host publication | 10th IFIP WG 8.1. Working Conference, PoEM 2017, Proceedings |
Editors | Estefania Serral Asensio, Monique Snoeck, Geert Poels, Frederik Gailly |
Publisher | Springer |
Pages | 283-298 |
Number of pages | 16 |
ISBN (Print) | 9783319702407 |
DOIs | |
Publication status | Published - 2017 |
Event | 10th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling, PoEM 2017 - Leuven, Belgium Duration: 22 Nov 2017 → 24 Nov 2017 |
Publication series
Name | Lecture Notes in Business Information Processing |
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Volume | 305 |
ISSN (Print) | 1865-1348 |
Conference
Conference | 10th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling, PoEM 2017 |
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Country/Territory | Belgium |
City | Leuven |
Period | 22/11/17 → 24/11/17 |
Bibliographical 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.
Funding
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. 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.
Keywords
- Enterprise resource planning
- Model-driven software development
- Ontological enterprise modeling
- Software generation