STAF 2023
Tue 18 - Fri 21 July 2023 Leicester, United Kingdom

Call for Papers

The workshop has been cancelled. See you next year!

The sheer complexity of software systems nowadays makes modeling artifacts pervasive throughout the development process, be it use requirements, analysis, design, or development. Whether models are used for communication or prescriptive purposes, their syntax and pragmatics affect usability and represent contributory factors concerning the accidental complexity. The diversity of modeling notations and approaches permits classifying them according to different taxonomies. General-purpose and domain-specific modeling languages can be created with different intended scopes, although all of them can make use of graphical, textual, maps, matrices, tables, and combinations regarding its concrete syntax. These representations have the undoubted advantage of capturing and increasing understanding of complex software systems and better grasping the rationale behind them. In essence, a visual modeling language creates a joint base for the modeler by improving their communication and lays a solid foundation for the implementation.

FPVM 2023 aims to promote and foster discussions on many aspects of visual modeling languages, including novel and visionary ideas and techniques, notations for the generations of support tools for visual languages, the usability of tools and meta-tools.

Topics of interest are but are not limited to:

  • Visualization techniques and methodologies for modeling languages
  • Visualizing models for different stakeholders/readers
  • Visualizing errors in models (incompleteness, inconsistency, incorrectness)
  • Guidance in modeling languages
  • Visualizing version data of models
  • Visualizing different views
  • Complex or large-scale model visualization
  • Usability for visual modeling languages
  • Meta-editors novel approaches
  • Development of collaborative (human-in-the-loop) visual modeling languages
  • Visual Modeling platforms for cloud applications
  • LowCode/NoCode techniques and methodologies

Authors are invited to submit technical papers relevant to the workshop topic or insightful experience reports on the visualization of modeling languages. We solicit the submission of:

  • Full papers (not more than 10 pages excluding references).

  • Position papers (not more than 9 pages excluding references).

  • Abstract (not more than two pages). In this case the paper will not be included in the STAF workshops proceeding.

All submissions must be written in English, adhere to the CEUR Style single column formatting guidelines, and be submitted through EasyChair. All submissions must be original work and must not have been previously published or being under review elsewhere.

The accepted papers will be published to the joint volume of proceedings for the STAF 2023 satellite and co-located events published with CEUR-WS.

For each accepted paper and abstract, at least one of the authors must register for the workshop, participate fully in the workshop, and present the paper at the workshop.

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