Reference : Implementing a Software Prototype for Enterprise Architecture Rationalization: Lesson...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/17039
Implementing a Software Prototype for Enterprise Architecture Rationalization: Lessons Learned
English
Plataniotis, Georgios [PRC Henri Tudor > SSI]
De Kinderen, Sybren mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Proper, Henderik A. [PRC Henri Tudor > SSI]
2014
9th workshop on Trends in Enterprise Architecture (TEAR 2014), Ulm 1-2 september 2014
IEEE
Yes
No
International
9th workshop on Trends in Enterprise Architecture (TEAR 2014)
from 01-09-2014 until - 02-09-2014
[en] architectural rationalization ; prototype implementation ; lessons learned
[en] Enterprise Architecture (EA) modeling languages
describe an enterprise architecture holistically. Therefore, they
show an enterprises business products and services, and how
these are realized by IT infrastructure and applications. However,
EA modeling languages lack the capability of capturing rationalization information behind these models in terms of selection
criteria, alternatives etc.
Our earlier work proposes the EA Anamnesis approach for
enterprise architecture rationalization. Its major contribution is
a formal metamodel and a corresponding concrete syntax to
interrelate business and IT decisions and in turn complement
EA models with design rationale information. Yet, up to now the
EA Anamnesis approach lacks software tool support.
In this paper we discuss the lessons learned during the
implementation of our metamodel into a software prototype.
Furthermore, we provide a reflection of our aim to develop a
tool by rapid prototyping, whereby practitioner feedback enables
concurrent maturation of the software tool and metamodel and
the idea of presenting a tool to foster acceptance and practical
uptake of EA Anamnesis
Fonds National de la Recherche - FnR
Researchers
http://hdl.handle.net/10993/17039

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