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Domain Modelling in Bloom: Deciphering How We Teach It Read chapter Read first chapter

2017 | OriginalPaper | Chapter

NEXT: Generating Tailored ERP Applications from Ontological Enterprise Models

Authors : Henk van der Schuur, Erik van de Ven, Rolf de Jong, Dennis Schunselaar, Hajo A. Reijers, Michiel Overeem, Machiel de Graaf, Slinger Jansen, Sjaak Brinkkemper

Published in: The Practice of Enterprise Modeling

Publisher: Springer International Publishing

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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.

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Footnotes
1
We use the term ‘common-sense’ in line with the work of Fox [2], i.e., information that is deduced from the semantics of the model.
 
2
Every stereotype can also have modeled (non-semantic) attributes, e.g., description, number of employees, wedding date, margin, or attachment.
 
3
For example, NEXT uses Event Sourcing [3] to ensure that all changes to the application state are stored as an event sequence. Using this sequence of events, application-wide features such as auditing, logging of in-the-field software operation and usage [4] as well as application rollbacks are implemented [5, 6].
 
4
At the time of writing, we have front end code generator templates for HTML, Javascript, and CSS. The back end generator templates currently generate https://static-content.springer.com/image/chp%3A10.1007%2F978-3-319-70241-4_19/459826_1_En_19_IEq5_HTML.gif code.
 
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Overeem, M., Spoor, M., Jansen, S.: The dark side of event sourcing: managing data conversion. In: SANER, pp. 193–204 (2017)
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Overeem, M., Jansen, S.: An exploration of the it in it depends: generative versus interpretive model-driven development. In: MODELSWARD (2017)
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Snoeck, M.: Enterprise Information Systems Engineering - The MERODE Approach. The Enterprise Engineering Series. Springer, Switzerland (2014)
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Vernadat, F.: UEML: Towards a unified enterprise modelling language. Int. J. Prod. Res. 40(17), 4309–4321 (2002)CrossRefMATH
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Metadata
Title
NEXT: Generating Tailored ERP Applications from Ontological Enterprise Models
Authors
Henk van der Schuur
Erik van de Ven
Rolf de Jong
Dennis Schunselaar
Hajo A. Reijers
Michiel Overeem
Machiel de Graaf
Slinger Jansen
Sjaak Brinkkemper
Copyright Year
2017
Book
The Practice of Enterprise Modeling

Print ISBN: 978-3-319-70240-7

Electronic ISBN: 978-3-319-70241-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-70241-4_19

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