Logo des Repositoriums

Auflistung nach Autor:in "Linden, Dirk van der"

1 - 2 von 2
  • 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.
  • Konferenzbeitrag
    On the cognitive understanding of types in modeling languages
    (Enterprise Modelling and Information Systems Architectures (EMISA 2013), 2013) Linden, Dirk van der; Proper, Henderik
    We investigate how enterprise modelers see common types (e.g., actor, event, process) used in most modeling languages in terms of their semantic feature structure (e.g., is human, is material). We hypothesize that modelers have specific interpretations for some of these common types that affect their range of conceptually valid instantiations (e.g., actors should not be instantiated as human things). Based on two exploratory psychometric studies performed with enterprise modeling practitioners and computing science students we discuss the way these typical interpretations affect their $model(ing)$ semantics (e.g., results typically having to be modeled as well-described and non-natural entities, restrictions typically as logical necessities), and what consequences these findings have for modeling languages and the use and creation of models themselves, especially in an inherently collaborative effort like enterprise modeling. We conclude by arguing that insights into these conceptualizations are likely useful and should receive more attention and studies.