A Systematic Evaluation of Enterprise Modelling Approaches on Their Applicability to Automatically Generate ERP Software

Schunselaar, Dennis M. M.; Gulden, Jens; Schuur, Henk van der; Reijers, Hajo A.

doi:10.1109/cbi.2016.40

Cited by 8 publications

(13 citation statements)

References 21 publications

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“…During the past decade, being ignorant of existing Enterprise Modeling (EM) languages, the OEM Language has been developed within AFAS. Recently, we have started evaluating existing EM approaches for their applicability to automatically gen-erate ERP software and none sufficed [1]; also see Section 4. Next to this, from a pragmatic side, by developing our own language we have full flexibility to (re)define the language to best fit our needs (see Figure 1 and Section 2.2).…”

Section: The Ontological Enterprise Modeling Languagementioning

confidence: 99%

“…To show the current state of the NEXT runtime, Figure 5 shows run-time screenshots of generated NEXT cloud applications for each of the OEMs in Figure 4. The application of 1 is rather basic and straightforward: organizations can be created and listed, and they can be assigned a customer role (note that already with application 1 , basic functionality such as navigation and search is available). With the application generated from 2 , good deliveries can be created.…”

Section: Current State Of the Runtimementioning

confidence: 99%

“…In our previous work [1], we compared EM approaches on their applicability for automatically generating ERP Software. These approaches included, among others: Archi-Mate [7], ARIS [8], CIMOSA [9], DEMO [10], MEMO [11], MERODE [12], and UEML [13].…”

Section: Enterprise Modelingmentioning

confidence: 99%

“…These approaches included, among others: Archi-Mate [7], ARIS [8], CIMOSA [9], DEMO [10], MEMO [11], MERODE [12], and UEML [13]. We show some of the highlights of [1] in the context of this paper. We do so, by going through the steps listed in Figure 1 and show the requirements on the EM approach.…”

Section: Enterprise Modelingmentioning

confidence: 99%

“…We do so, by going through the steps listed in Figure 1 and show the requirements on the EM approach. We omit step (3) since none of the approaches are applicable to automatically generate ERP software [1].…”

Section: Enterprise Modelingmentioning

confidence: 99%

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NEXT: Generating Tailored ERP Applications from Ontological Enterprise Models

Schuur

Ven

Jong

et al. 2017

Lecture Notes in Business Information Processing

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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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Section: The Ontological Enterprise Modeling Languagementioning

confidence: 99%

Section: Current State Of the Runtimementioning

confidence: 99%

Section: Enterprise Modelingmentioning

confidence: 99%

Section: Enterprise Modelingmentioning

confidence: 99%

Section: Enterprise Modelingmentioning

confidence: 99%

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NEXT: Generating Tailored ERP Applications from Ontological Enterprise Models

Schuur

Ven

Jong

et al. 2017

Lecture Notes in Business Information Processing

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Towards Assessing the Multi-view Modeling Capability of Enterprise Modeling Methods

Awadid

Bork

Nurcan

2018

Lecture Notes in Business Information Processing

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Today's enterprises and their underlying information systems ask for Multi-View Enterprise Modeling Methods (MVMMs) toward a comprehensive model representation. MVMMs capture the required aspects of complex systems using multiple viewsthe Multi-View Modeling (MVM) capability. However, not all modeling methods are endowed with a MVM capability. Means for assessing and improving such capability are therefore needed. Based on a comparative analysis of three MVMMs, we define the notion of MVM capability. Drawing on these criteria, an EBNF-based description is proposed, serving as a basis for MVM capability assessment. The strengths of the approach go beyond offering a common understanding of the MVM capability notion by i) assessing the MVM capability, and ii) identifying requirements to achieve this capability. Consequently, this approach primarily addresses method engineers aiming to employ MVM capability to a modeling method.

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