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Talk to Me! Toward Speech-Based UML Modeling

  • 2026
  • OriginalPaper
  • Chapter
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Abstract

This chapter explores the integration of speech-based natural language interfaces (NLI) into UML modeling editors to enhance accessibility and usability. The study presents a prototype that uses BERT models for intent recognition and entity extraction, trained on a dataset derived from user surveys. The evaluation of the prototype shows that it is capable of fulfilling many modeling tasks, despite the prototype’s early-development phase usability problems. The chapter also discusses the limitations of current graphical modeling editors and proposes a solution that could promote inclusion and enable users of all abilities to engage in conceptual modeling. The study concludes with future work directions, including extending the approach to support a more diverse and complex set of modeling actions and reaching out to the accessibility community for feedback.

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Title
Talk to Me! Toward Speech-Based UML Modeling
Authors
Simon Schwantler
Stefan Klikovits
Haydar Metin
Philip Langer
Dominik Bork
Copyright Year
2026
DOI
https://doi.org/10.1007/978-3-032-12063-2_6
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