Data Validation Patterns

Data Validation Patterns is a method in the field of software engineering that systematically organizes reusable strategies for verifying the correctness, completeness, and consistency of input data during processing, distinguished by its focus on codified, context-specific rules and structural templates applied to ensure data integrity across diverse application scenarios.

4

Publications

96

Citations

5

Authors

4

Institutions

Publications per year

2017–2026

2

Authors

5

  1. PB
    Pierre Baldi

    University of California, Irvine, United States

    1 publications · 40 citations

    1

    h-index

  2. JS
    Jie Song

    University of Michigan, United States

    1 publications · 23 citations

    1

    h-index

  3. AW
    Abidin Wakano

    1 publications · 23 citations

    1

    h-index

  4. YC
    Yves Chauvin

    California Institute of Technology, United States

    1 publications · 40 citations

    1

    h-index

  5. YH
    Yeye He

    Microsoft (United States), United States

    1 publications · 23 citations

    1

    h-index

1–5 of 5

Venues

  1. al-Iltizam Jurnal Pendidikan Agama Islam

    1 publications · 23 citations

    1

    h-index

  2. Neural Computation

    1 publications · 40 citations

    1

    h-index

  3. Child Abuse & Neglect

    1 publications · 10 citations

1–3