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Auflistung nach Autor:in "Proper, Henderik A."

1 - 9 von 9
  • Konferenz-Abstract
    Business Processes in Disaster Risk Information Management
    (EMISA 2022, 2022) Kremers, Horst
  • Konferenz-Abstract
    Enterprise Coherence Governance with GEA
    (EMISA 2022, 2022) Proper, Henderik A.; Wagter, Roel; Bekel, Joost
  • Konferenz-Abstract
    Extracting Models from Text - A Research Agenda.
    (EMISA 2022, 2022) Haag, Stefan; Simon, Carlo
  • Konferenzbeitrag
    Fundamental challenges in systems modelling
    (40 Years EMISA 2019, 2020) Proper, Henderik A.; Bjeković, Marija
    In the context of information systems, and digital ecosystems at large, many different forms of systems modelling are used. This includes enterprise (architecture) modelling, business process modelling, ontology modelling and information modelling. The resulting models have come to play an important role during all stages of the life-cycle of digital (eco)systems, where we see such systems as being socio-technical systems involving a hybrid of human and digital actors, supported by (other) technologies. In our view, the key role of models also fuels the need for a more fundamental reflection on core aspects of modelling itself. In line with this, the goal of this paper is to explore some of the underlying fundamental challenges of modelling, and in doing so create awareness for, and initiate discussions on, the need for more foundational research into these challenges. The discussion of these challenges has been structured in terms of three clusters: the semiotic foundations, the essence of modelling, and the role of normative frames (such as modelling languages).
  • Zeitschriftenartikel
    Fundamental challenges in systems modelling.
    (EMISA Forum: Vol. 39, No. 1, 2019) Proper, Henderik A.; Bjekovic, Marija
  • Konferenzbeitrag
    On the accommodation of conceptual distinctions in conceptual modeling languages
    (Modellierung 2014, 2014) Linden, Dirk van der; Proper, Henderik A.
    In this paper we are concerned with the degree to which modeling languages explicitly accommodate conceptual distinctions. Such distinctions refer to the precision and nuance with which a given modeling concept in a language can be interpreted (e.g., can an actor be a human, an abstraction, or a collection of things). We start by elaborating on the notion of conceptual distinctions, while also providing a list of common modeling concepts and related distinctions that are relevant to enterprise modeling. Based on this, we will then analyze a number of conceptual modeling languages to see whether they accommodate the explicit modeling of (potentially important) conceptual distinctions - that is, whether they have specific language elements to model conceptually distinct entities with. On basis of these findings we then further discuss how to ensure such different distinctions are captured in created models, how to know which of them to support in modeling languages, and where existing methods fall short. We conclude by discussing what impact our findings may have on the use (and validation) of modeling languages.
  • Konferenz-Abstract
    On Understanding the Value of Domain Modeling
    (EMISA 2022, 2022) Guizzardi, Giancarlo; Proper, Henderik A.
  • Konferenz-Abstract
    Retrofitting Generative Aspects in Existing Applications
    (EMISA 2022, 2022) Gerasimov, Arkadii; Michael, Judith; Nachmann, Imke; Netz, Lukas; Rumpe, Bernhard; Varga, Simon
  • Konferenz-Abstract
    Using Knowledge Graphs to Detect Enterprise Architecture Smells
    (EMISA 2022, 2022) Hacks, Simon; Smajevic, Muhamed; Bork, Dominik