The REA-DSL: A Domain Specific Modeling Language for Business Models

Authors: 
Christian Sonnenberg
Christian Huemer
Birgit Hofreiter
Dieter Mayrhofer
Type: 
Speech with proceedings
Proceedings: 
Advanced Information Systems Engineering Proceedings of the 23rd International Conference (CAiSE 2011)
Publisher: 
Springer
Pages: 
252 - 266
ISBN: 
ISBN: 978-3-642-21639-8
Year: 
2011
Abstract: 
In the discipline of accounting, the resource-event-agent (REA) ontology is a well accepted conceptual accounting framework to analyze the economic phenomena within and across enterprises. Accordingly, it seems to be appropriate to use REA in the requirements elicitation to develop an information architecture of accounting and enterprise information systems. However, REA has received comparatively less attention in the field of business informatics and computer science. Some of the reasons may be that the REA ontology despite of its well grounded core concepts is (1) sometimes vague in the definition of the relationships between these core concepts, (2) misses a precise language to describe the models, and (3) does not come with an easy to understand graphical notation. Accordingly, we have started developing a domain specific modeling language specifically dedicated to REA models and corresponding tool support to overcome these limitations. In this paper we present our REA DSL which supports the basic set of REA concepts.
TU Focus: 
Computational Science and Engineering
Reference: 

C. Sonnenberg, C. Huemer, B. Hofreiter, D. Mayrhofer, A. Braccini:
"The REA-DSL: A Domain Specific Modeling Language for Business Models";
Vortrag: Advanced Information Systems Engineering 23rd International Conference (CAiSE 2011), London, United Kingdom; 20.06.2011 - 24.06.2011; in: "Advanced Information Systems Engineering Proceedings of the 23rd International Conference (CAiSE 2011)", Springer, LNCS 6741 (2011), ISBN: 978-3-642-21639-8; S. 252 - 266.

Zusätzliche Informationen

Last changed: 
18.07.2011 13:52:02
TU Id: 
198185
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Abstract German: 
Author List: 
C. Sonnenberg, C. Huemer, B. Hofreiter, D. Mayrhofer, A. Braccini