Empirical results for application landscape complexity

Alexander W. Schneider, Thomas Reschenhofer, Alexander Schutz, Florian Matthes

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

18 Zitate (Scopus)

Abstract

The complexity of application landscapes (AL) has been identified as one of the major challenges in enterprise architecture (EA) management for quite some time. Since there is no agreed upon definition of the term complexity in general or in the context of EA management in particular, literature offers a broad variety of concepts and measurements. Therefore, the main purpose of this paper is to (1) provide an overview about metrics to quantify the complexity of ALs proposed in literature, (2) identify metrics currently used in practice to measure AL complexity, and (3) compare empirical results and assess the metrics' applicability with industry experts. By the assessment of four different ALs from the financial sector, we are able to derive various strengths and weaknesses for the different metrics as well as open issues for future research on quantitative EA models.

OriginalspracheEnglisch
TitelProceedings of the 48th Annual Hawaii International Conference on System Sciences, HICSS 2015
Redakteure/-innenTung X. Bui, Ralph H. Sprague
Herausgeber (Verlag)IEEE Computer Society
Seiten4079-4088
Seitenumfang10
ISBN (elektronisch)9781479973675
DOIs
PublikationsstatusVeröffentlicht - 26 März 2015
Veranstaltung48th Annual Hawaii International Conference on System Sciences, HICSS 2015 - Kauai, USA/Vereinigte Staaten
Dauer: 5 Jan. 20158 Jan. 2015

Publikationsreihe

NameProceedings of the Annual Hawaii International Conference on System Sciences
Band2015-March
ISSN (Print)1530-1605

Konferenz

Konferenz48th Annual Hawaii International Conference on System Sciences, HICSS 2015
Land/GebietUSA/Vereinigte Staaten
OrtKauai
Zeitraum5/01/158/01/15

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