Defensive Programming

Defensive Programming is a secure coding practice that systematically anticipates, detects, and mitigates potential errors, vulnerabilities, or invalid inputs by enforcing strict input validation, error checking, and fail-safe design principles to enhance software robustness and security.

18

Publications

595

Citations

50

Authors

25

Institutions

Publications per year

2017–2026

6

Authors

50

  1. LP
    Larry Peterson

    Princeton University, United States

    2 publications · 86 citations

    2

    h-index

  2. XQ
    Xiaohu Qie

    Tencent (China), China

    2 publications · 86 citations

    2

    h-index

  3. RW
    Richard Weiss

    The Evergreen State College, United States

    1 publications · 12 citations

    1

    h-index

  4. LV
    Lidia Verdugo

    Universidad Mayor, Chile

    1 publications · 78 citations

    1

    h-index

  5. AU
    Anirudh Unni

    Carl von Ossietzky Universität Oldenburg, Germany

    1 publications · 28 citations

    1

    h-index

1–5 of 50

Venues

  1. Journal of computing sciences in colleges

    2 publications · 26 citations

    2

    h-index

  2. ACM SIGOPS Operating Systems Review

    1 publications · 70 citations

    1

    h-index

  3. mBio

    1 publications · 78 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 11 citations

    1

    h-index

  5. Engineering International

    1 publications · 38 citations

    1

    h-index

1–5