Empirical results for application landscape complexity

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 48th Annual Hawaii International Conference on System Sciences, HICSS 2015
EditorsTung X. Bui, Ralph H. Sprague
PublisherIEEE Computer Society
Pages4079-4088
Number of pages10
ISBN (Electronic)9781479973675
DOIs
StatePublished - 26 Mar 2015
Event48th Annual Hawaii International Conference on System Sciences, HICSS 2015 - Kauai, United States
Duration: 5 Jan 20158 Jan 2015

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2015-March
ISSN (Print)1530-1605

Conference

Conference48th Annual Hawaii International Conference on System Sciences, HICSS 2015
Country/TerritoryUnited States
CityKauai
Period5/01/158/01/15

Keywords

  • Enterprise architecture management
  • complexity

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