Model-to-text Transformation

Model-To-Text Transformation is a model transformation technique that systematically generates textual artifacts from formal models by specifying mapping rules between the source model elements and target textual representations.

80

Publications

2.8K

Citations

238

Authors

92

Institutions

Publications per year

2017–2026

29

Authors

238

  1. RF
    Richard F. Paige

    University of York, United Kingdom

    4 publications · 66 citations

    4

    h-index

  2. DS
    Dimitrios S. Kolovos

    University of York, United Kingdom

    4 publications · 82 citations

    4

    h-index

  3. JC
    Justin Cooper

    University of York, United Kingdom

    2 publications · 27 citations

    2

    h-index

  4. CL
    Cheng Lu

    Case Western Reserve University, United States

    2 publications · 165 citations

    2

    h-index

  5. AE
    Alexander Egyed

    Johannes Kepler University of Linz, Austria

    2 publications · 51 citations

    2

    h-index

1–5 of 238

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 432 citations

    5

    h-index

  2. 2

    h-index

  3. Advanced Engineering Informatics

    2 publications · 31 citations

    2

    h-index

  4. IEEE Access

    2 publications · 61 citations

    2

    h-index

  5. Software Quality Journal

    1 publications · 30 citations

    1

    h-index

1–5