Automatic Module Generation

Automatic Module Generation is a computational method that autonomously creates modular components of a system by identifying and encapsulating cohesive functional units from raw input data or high-level specifications, distinguishing itself from manual or semi-automated approaches through its self-contained, rule-based, or learning-driven derivation process.

88

Publications

3.7K

Citations

263

Authors

109

Institutions

Publications per year

2017–2026

18

Authors

263

  1. JM
    Jan M. Rabaey

    University of California, Berkeley, United States

    2 publications · 26 citations

    2

    h-index

  2. SM
    Shahnam Mirzaei

    University of California, Santa Barbara, United States

    2 publications · 59 citations

    2

    h-index

  3. HD
    H. De Man

    IMEC, Belgium

    2 publications · 26 citations

    2

    h-index

  4. AM
    Amit Misra

    Los Alamos National Laboratory, United States

    2 publications · 35 citations

    2

    h-index

  5. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    2 publications · 915 citations

    2

    h-index

1–5 of 263

Venues

  1. 3

    h-index

  2. Design Automation Conference

    Conference · 3 publications · 58 citations

    3

    h-index

  3. Journal of Intelligent Manufacturing

    1 publications · 11 citations

    1

    h-index

  4. Proceedings/Proceedings - International Test Conference

    ITC · 1 publications · 52 citations

    1

    h-index

  5. IEEE Design & Test of Computers

    1 publications · 18 citations

    1

    h-index

1–5