Scalable Static Analysis

Scalable Static Analysis is a static analysis method engineered to maintain precision and efficiency while accommodating the increasing size and complexity of software systems, thereby enabling the practical application of static application security testing across large-scale codebases.

122

Publications

6.7K

Citations

348

Authors

129

Institutions

Publications per year

2017–2026

45

Authors

348

  1. GX
    Guoqing Xu

    University of California, Irvine, United States

    6 publications · 178 citations

    6

    h-index

  2. ZZ
    Zhiqiang Zuo

    Tianjin University, China

    6 publications · 142 citations

    6

    h-index

  3. HO
    Hakjoo Oh

    Korea University, South Korea

    5 publications · 214 citations

    5

    h-index

  4. SR
    Sukyoung Ryu

    Korea Advanced Institute of Science and Technology, South Korea

    5 publications · 183 citations

    5

    h-index

  5. FL
    Francesco Logozzo

    Microsoft (United States), United States

    4 publications · 456 citations

    4

    h-index

1–5 of 348

Venues

  1. ACM SIGPLAN Notices

    10 publications · 529 citations

    10

    h-index

  2. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 2 publications · 73 citations

    2

    h-index

  3. ACM Transactions on Software Engineering and Methodology

    TOSEM · 2 publications · 92 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 162 citations

    2

    h-index

  5. Proceedings of the ACM on Programming Languages

    PACMPL · 2 publications · 53 citations

    2

    h-index

1–5