Model Transformation Optimization

Model Transformation Optimization is a model transformation enhancement method that specifically improves the efficiency, scalability, or quality of model transformations by systematically modifying their structure, execution strategy, or underlying rules to reduce computational overhead, minimize resource usage, or maximize output fidelity within the Model-Driven Development paradigm.

20

Publications

650

Citations

64

Authors

38

Institutions

Publications per year

2017–2026

5

Authors

64

  1. MW
    Manuel Wimmer

    TU Wien, Austria

    4 publications · 73 citations

    4

    h-index

  2. DV
    Dániel Varró

    Budapest University of Technology and Economics, Hungary

    2 publications · 153 citations

    2

    h-index

  3. GV
    Gergely Varró

    Budapest University of Technology and Economics, Hungary

    2 publications · 153 citations

    2

    h-index

  4. MK
    Marouane Kessentini

    University of Michigan–Dearborn, United States

    2 publications · 31 citations

    2

    h-index

  5. BA
    Bader Alkhazi

    University of Michigan, United States

    2 publications · 31 citations

    2

    h-index

1–5 of 64

Venues

  1. 1

    h-index

  2. Automated Software Engineering

    1 publications · 11 citations

    1

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 23 citations

    1

    h-index

  4. Mathematical Problems in Engineering

    MPE · 1 publications · 31 citations

    1

    h-index

  5. Model Driven Engineering Languages and Systems

    Conference · 1 publications · 14 citations

    1

    h-index

1–5