@inproceedings{,
    author = {Ascher, Dominik; Heiland, Erik; Schnell, Diana; Hillmann, Peter; Karcher, Andreas},
    title = {Methodology for Holistic Reference Modeling in Systems Engineering},
    editor = {},
    booktitle = {BIR 2022 Workshops and Doctoral Consortium, 21st International Conference on Perspectives in Business Informatics Research (BIR 2022) : September 20-23, 2022, Rostock, Germany},
    series = {CEUR Workshop Proceedings},
    journal = {},
    address = {},
    publisher = {},
    edition = {},
    year = {2022},
    isbn = {},
    volume = {3223},
    number =  {},
    pages = {140-151},
    url = {https://ceur-ws.org/Vol-3223/paper13.pdf},
    doi = {},
    keywords = {Reference Modeling ; Enterprise Architecture ; Methodology},
    abstract = {Models in face of increasing complexity support development of new systems and enterprises.
For an efficient procedure, reference models are adapted in order to reach a solution with les
overhead which covers all necessary aspects. Here, a key challenge is applying a consistent
methodology for the descriptions of such reference designs. This paper presents a holistic ap-
proach to describe reference models across different views and levels. Modeling stretches from
the requirements and capabilities over their subdivision to services and components up to the
realization in processes and data structures. Benefits include an end-to-end traceability of the
capability coverage with performance parameters considered already at the starting point of
the reference design. This enables focused development while considering design constraints
and potential bottlenecks. We demonstrate the approach on the example of the development of
a smart robot. Here, our methodology highly supports transferability of designs for the devel-
opment of further systems.},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Informatik, INF 4 - Institut für Angewandte Informatik, Professur: Karcher, Andreas},
    
    
}