Rule-based Transformation

Rule-Based Transformation is a model transformation approach that belongs to the class of transformation methods and is distinguished by its reliance on explicitly defined rules to specify how elements of a source model are systematically mapped to corresponding elements in a target model.

188

Publications

6.2K

Citations

524

Authors

252

Institutions

Publications per year

2017–2026

41

Authors

524

  1. CE
    Claudia Ermel

    Technische Universität Berlin, Germany

    5 publications · 85 citations

    5

    h-index

  2. GT
    Gabriele Taentzer

    Philipps University of Marburg, Germany

    4 publications · 150 citations

    4

    h-index

  3. AS
    Andy Schürr

    Technische Universität Darmstadt, Germany

    4 publications · 221 citations

    4

    h-index

  4. FH
    Frank Hermann

    University of Luxembourg, Luxembourg

    4 publications · 85 citations

    4

    h-index

  5. GV
    Gergely Varró

    Budapest University of Technology and Economics, Hungary

    3 publications · 129 citations

    3

    h-index

1–5 of 524

Venues

  1. Electronic Notes in Theoretical Computer Science

    ENTCS · 5 publications · 90 citations

    5

    h-index

  2. Software & Systems Modeling

    SoSyM · 4 publications · 119 citations

    4

    h-index

  3. Technische Universität Berlin – Universitätsbibliothek

    Repository · 4 publications · 60 citations

    4

    h-index

  4. Conference on Computational Natural Language Learning

    Conference · 2 publications · 46 citations

    2

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 2 publications · 29 citations

    2

    h-index

1–5