Artificial Intelligence In Coding

Artificial Intelligence in Coding is an academic concept that refers to a computational method, model, framework, theory, construct, dataset, task, or metric enabling machines to autonomously generate, understand, optimize, or repair source code through techniques derived from artificial intelligence, thereby distinguishing it from conventional programming or rule-based code analysis approaches.

14

Publications

442

Citations

17

Authors

7

Institutions

Publications per year

2017–2026

13

Authors

17

  1. CK
    C. K. Johnson

    1 publications · 23 citations

    1

    h-index

  2. AM
    Alexander Maedche

    Karlsruhe Institute of Technology, Germany

    1 publications · 67 citations

    1

    h-index

  3. AB
    Alena Buchalcevová

    Prague University of Economics and Business, Czechia

    1 publications · 19 citations

    1

    h-index

  4. EA
    Edward A. Feigenbaum

    Stanford University, United States

    1 publications · 23 citations

    1

    h-index

  5. MV
    Marcel Valový

    Prague University of Economics and Business, Czechia

    1 publications · 19 citations

    1

    h-index

1–5 of 17

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 122 citations

    3

    h-index

  2. Algorithms

    1 publications · 58 citations

    1

    h-index

  3. Creativity and Cognition

    Conference · 1 publications · 66 citations

    1

    h-index

  4. Acta Crystallographica Section A

    1 publications · 23 citations

    1

    h-index

  5. Journal of Biomechanical Engineering

    1 publications · 17 citations

    1

    h-index

1–5