Towards An Analysis Driven Approach for Adapting Enterprise Architecture Languages

De Kinderen, Sybren; Ma, Qin

Reference : Towards An Analysis Driven Approach for Adapting Enterprise Architecture Languages


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/18151

Title :	Towards An Analysis Driven Approach for Adapting Enterprise Architecture Languages
Language :	English
Author, co-author :	De Kinderen, Sybren [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Ma, Qin [PRC Henri Tudor > SSI]
Publication date :	2014
Main document title :	6th international EMISA workshop, Luxembourg-ville, 25 to 26 september 2014
Publisher :	EMISA
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	6th international workshop on Entwicklungsmethoden für Informationssysteme und deren Anwendung (EMISA)
Event date :	25 to 26 september 2014
Event organizer :	EMISA
Event place (city) :	Luxembourg-ville
Event country :	Luxembourg
Keywords :	[en] enterprise architecture ; modeling languages ; language adaptation
Abstract :	[en] Enterprise Architecture (EA) modeling languages are increasingly used for various enterprise wide analyses. In most cases one needs to adapt EA languages to an appropriate level of detail. However such an adaptation is not straightforward. Language engineers currently deal with analysis driven language adaptation in an ad-hoc manner, adapting languages from scratch. This introduces various problems, such as a tendency to add uninteresting and/or unnecessary details to languages, while important enterprise details are not documented. Moreover, adding detail increases the complexity of languages, which in turn inhibits a language's communication capabilities. Yet experience from practice shows that architects often are communicators, next to analysts. As a result, one needs to find a balance between a model's communication and analysis capabilities. In this position paper we argue for an approach for assisting language engineers in adapting, in a controlled manner, EA languages for model-driven enterprise analyses. Furthermore, we present the key ingredients of such an approach, and use these as a starting point for a research outlook.
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/18151

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