@inproceedings{SandkuhlZimmermannSchmidtetal.2020,
  author    = {Sandkuhl, Kurt and Zimmermann, Alfred and Schmidt, Rainer and Jugel, Dierk and M{\"o}hring, Michael},
  title     = {Managing the architecture complexity of intelligent digital systems},
  booktitle = {Proceedings of the workshops co-organized with the 13th IFIP WG 8.1 working conference on the Practice of Enterprise Modelling (PoEM 2020), Online, 26 November 2020. - (CEUR workshop proceedings ; 2749)},
  editor    = {Asprion, Petra and Bāliņa, Signe and Forbrig, Peter and Kampars, Jānis and Kirikova, Mārīte and M{\o}ller, Charles and Morichetta, Andrea and Roelens, Ben and Sandkuhl, Kurt},
  issn      = {1613-0073},
  url       = {http://ceur-ws.org/Vol-2749/paper10.pdf},
  institution = {Informatik},
  pages     = {114 -- 126},
  year      = {2020},
  abstract  = {Digital technologies are main strategic drivers for digitalization and offer ubiquitous data availability, unlimited connectivity, and massive processing power for a fundamentally changing business. This leads to the development and application of intelligent digital systems. The current state of research and practice of architecting digital systems and services lacks a solid methodological foundation that fully accommodates all requirements linked to efficient and effective development of digital systems in organizations. Research presented in this paper addresses the question, how management of complexity in digital systems and architectures can be supported from a methodological perspective. In this context, the current focus is on a better understanding of the causes of increased complexity and requirements to methodological support. For this purpose, we take an enterprise architecture perspective, i.e. how the introduction of digital systems affects the complexity of EA. Two industrial case studies and a systematic literature analysis result in the proposal of an extended Digital Enterprise Architecture Cube as framework for future methodical support.},
  language  = {en}
}