TY - GEN
T1 - NEXT
T2 - 10th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling, PoEM 2017
AU - Van Der Schuur, Henk
AU - Van De Ven, Erik
AU - De Jong, Rolf
AU - Schunselaar, Dennis
AU - Reijers, Hajo A.
AU - Overeem, Michiel
AU - De Graaf, Machiel
AU - Jansen, Slinger
AU - Brinkkemper, Sjaak
N1 - 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.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Enterprise resource planning
KW - Model-driven software development
KW - Ontological enterprise modeling
KW - Software generation
UR - http://www.scopus.com/inward/record.url?scp=85035017068&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-70241-4_19
DO - 10.1007/978-3-319-70241-4_19
M3 - Conference contribution
AN - SCOPUS:85035017068
SN - 9783319702407
T3 - Lecture Notes in Business Information Processing
SP - 283
EP - 298
BT - The Practice of Enterprise Modeling
A2 - Serral Asensio, Estefania
A2 - Snoeck, Monique
A2 - Poels, Geert
A2 - Gailly, Frederik
PB - Springer
Y2 - 22 November 2017 through 24 November 2017
ER -