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Auflistung nach Autor:in "Rosenthal, Kristina"

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  • Zeitschriftenartikel
    Business Process Simulation on Procedural Graphical Process Models
    (Business & Information Systems Engineering: Vol. 63, No. 5, 2021) Rosenthal, Kristina; Ternes, Benjamin; Strecker, Stefan
    Business process simulation marks an essential technique for analyzing business processes and for reasoning about process improvement. With first contributions dating back to the mid-1990s, computerized business process simulation has been a continuing research focus and is widely acknowledged as foundational to Business Process Management research and practice. Reviewing contributions to the field published between 1990 and 2018, the authors assess the state of research on business process simulation and develop an organizing overview of research contributions discussing simulation approaches, tool support, results visualization, use context, application purposes, and adoption barriers. Findings inform future research on business process simulation by discussing paths for behavioral research on the use of business process simulation, user requirements, and adoption barriers as well as complementary paths for design science research addressing limitations of present approaches and simulation tool support.
  • Konferenzbeitrag
    Exploring Conceptual Data Modeling Processes: Insights from Clustering and Visualizing Modeling Sequences
    (Modellierung 2024, 2024) Winkler, Philip; Rosenthal, Kristina; Strecker, Stefan
    Research on performing conceptual data modeling finds conceptual modelers to exhibit distinct procedural patterns of data modeling: for example, when performing a data modeling task applying the Entity-Relationship Model, a repeatedly observed pattern refers to first modeling entity types, attributes and their data types, then relationship types and their cardinalities in a subsequent step. To identify patterns in data modeling processes, we cluster and visualize sequences of modeling activities of 22 conceptual data modelers at different levels of data modeling expertise. In particular, we process modeler-tool interactions in a browser-based modeling tool to visualize sequences regarding the specific modeling activity of adding entity types, attributes and relationship types to a data model, and use hierarchical clustering to identify procedural patterns based on their similarity. We find procedural patterns to follow a distinct top-down and sequential way of proceeding and identify modeling sequences with a separate phase for modeling relationship types. Our findings prepare for designing tailored modeler tool support and inform instructors and learners on the process of conceptual data modeling.
  • Workshopbeitrag
    Message from the Modellierung’24 Workshop Chairs
    (Modellierung 2024 Satellite Events, 2024) Giese, Holger; Rosenthal, Kristina
    Message from the Modellierung’24 Workshop Chairs
  • Konferenzbeitrag
    Modeling difficulties in creating conceptual data models: Multimodal studies on individual modeling processes
    (Modellierung 2024, 2024) Rosenthal, Kristina; Strecker, Stefan; Snoeck, Monique
    Combining complementary modes of observation of modelers' modeling processes, we study modeling difficulties encountered by modelers while performing a data modeling task. Using the notion of cognitive breakdowns, we identify and confirm five types of modeling difficulties relating to different aspects of data modeling by analyzing audiovisual protocols of the modelers' modeling processes, recordings of modelers' interactions with the employed modeling software tool and survey data of modelers about their own perceptions of modeling difficulties they encountered.
  • Zeitschriftenartikel
    Toward a Taxonomy of Modeling Difficulties: A Multimodal Study on Individual Modeling Processes (Extended Abstract)
    (EMISA Forum: Vol. 41, No. 1, 2021) Rosenthal, Kristina; Strecker, Stefan
  • Konferenzbeitrag
    Understanding individual processes of conceptual modeling: A multi-modal observation and data generation approach
    (Modellierung 2020, 2020) Rosenthal, Kristina; Ternes, Benjamin; Strecker, Stefan
    How conceptual modeling is performed by modelers, how modeling processes proceed, which modeling difficulties modelers face and why, and how to overcome these difficulties by tailored modeling support has received limited attention in conceptual modeling research so far. Studying individual modeling processes by observing modelers during conceptual modeling contributes to identifying modeling difficulties, and to understand whether modelers require tailored modeling support. Based on TOOL, a modeling tool and research observatory for studying modeling processes, we design a multi-modal observation and data generation approach and report its application to exploratory studies of individual modeling processes, and show how complementary modes of observation are integrated during data analysis for a richer and more complete understanding of modeling processes. Moreover, we discuss how the multi-modality of observations contributes to understanding modeling processes and modeling difficulties, and how observations during modeling feed back into the software development of TOOL.