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Exploring Conceptual Data Modeling Processes: Insights from Clustering and Visualizing Modeling Sequences

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dc.contributor.authorWinkler, Philip
dc.contributor.authorRosenthal, Kristina
dc.contributor.authorStrecker, Stefan
dc.contributor.editorMichael, Judith
dc.contributor.editorWeske, Mathias
dc.date.accessioned2024-02-19T11:27:57Z
dc.date.available2024-02-19T11:27:57Z
dc.date.issued2024
dc.description.abstractResearch 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.en
dc.identifier.doi10.18420/modellierung2024_004
dc.identifier.isbn978-3-88579-742-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43628
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-348
dc.subjectConceptual Data Modeling
dc.subjectModeling Process
dc.subjectModeling Style
dc.subjectObservation Study
dc.titleExploring Conceptual Data Modeling Processes: Insights from Clustering and Visualizing Modeling Sequencesen
dc.typeText/Conference Paper
gi.citation.endPage42
gi.citation.publisherPlaceBonn
gi.citation.startPage25
gi.conference.date12.-15. March 2024
gi.conference.locationPotsdam, Germany
gi.conference.sessiontitleModel Creation

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P348 - Modellierung 2024
Modellierung 2024 (LNI P348)