Schneider, Alexander W. ; Reschenhofer, Thomas ; Schütz, Alexander ; Matthes, Florian (2015)
Empirical Results for Application Landscape Complexity.
48th Hawaii International Conference on System Science (HICSS). Kauai, USA (January 5-8, 2015)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2015 |
| Autor(en): | Schneider, Alexander W. ; Reschenhofer, Thomas ; Schütz, Alexander ; Matthes, Florian |
| Art des Eintrags: | Bibliographie |
| Titel: | Empirical Results for Application Landscape Complexity |
| Sprache: | Englisch |
| Publikationsjahr: | 5 Januar 2015 |
| Veranstaltungstitel: | 48th Hawaii International Conference on System Science (HICSS) |
| Veranstaltungsort: | Kauai, USA |
| Veranstaltungsdatum: | January 5-8, 2015 |
| Kurzbeschreibung (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. |
| Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management |
| Hinterlegungsdatum: | 09 Okt 2014 09:24 |
| Letzte Änderung: | 09 Feb 2018 13:31 |
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