Generative Programming

Generative Programming is a software development paradigm that belongs to the genus of systematic software reuse, differing from conventional approaches by enabling the automatic synthesis of customized programs from high-level domain-specific specifications through the use of configurable components and generative technologies.

107

Publications

8K

Citations

319

Authors

108

Institutions

Publications per year

2017–2026

25

Authors

319

  1. TR
    Tiark Rompf

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 610 citations

    6

    h-index

  2. KK
    Klaus Kabitzsch

    Technische Universität Dresden, Germany

    4 publications · 108 citations

    4

    h-index

  3. BA
    Brett A. Becker

    University College Dublin, Ireland

    4 publications · 402 citations

    4

    h-index

  4. KC
    Krzysztof Czarnecki

    University of Waterloo, Canada

    4 publications · 337 citations

    4

    h-index

  5. MO
    Martin Odersky

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 480 citations

    4

    h-index

1–5 of 319

Venues

  1. ACM SIGPLAN Notices

    5 publications · 92 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 88 citations

    4

    h-index

  3. Communications of the ACM

    2 publications · 364 citations

    2

    h-index

  4. ACM Transactions on Software Engineering and Methodology

    TOSEM · 2 publications · 31 citations

    2

    h-index

  5. Journal of Computer Science

    2 publications · 21 citations

    2

    h-index

1–5