TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Jugel, Dierk
A1  - Schweda, Christian
A1  - Zimmermann, Alfred
A1  - Läufer, Sandra
T1  - Tool capability in visual EAM analytics
JF  - Complex systems informatics and modeling quarterly
N2  - Enterprise Architectures (EA) consist of a multitude of architecture elements, which relate in manifold ways to each other. As the change of a single element hence impacts various other elements, mechanisms for architecture analysis are important to stakeholders. The high number of relationships aggravates architecture analysis and makes it a complex yet important task. In practice EAs are often analyzed using visualizations. This article contributes to the field of visual analytics in enterprise architecture management (EAM) by reviewing how state-of-the-art software platforms in EAM support stakeholders with respect to providing and visualizing the “right” information for decision-making tasks. We investigate the collaborative decision-making process in an experiment with master students using professional EAM tools by developing a research study. We evaluate the students’ findings by comparing them with the experience of an enterprise architect.
KW  - enterprise architecture management
KW  - visual analytics
KW  - decision-making process
KW  - collaboration
Y1  - 2015
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-5013
U6  - https://doi.org/10.7250/csimq.2015-2.04
DO  - https://doi.org/10.7250/csimq.2015-2.04
IS  - 2
SP  - 46
EP  - 55
S1  - 20
PB  - Riga Technical University
CY  - Riga
ER  -