Hybrid Static Analysis

Hybrid Static Analysis is a static program analysis technique that integrates multiple analysis methodologies—such as symbolic execution, abstract interpretation, and data flow analysis—with external validation mechanisms, such as runtime or dynamic information, to enhance precision and scalability in detecting software vulnerabilities.

39

Publications

1.6K

Citations

115

Authors

48

Institutions

Publications per year

2017–2026

10

Authors

115

  1. ML
    Mary Lou Soffa

    University of Pittsburgh, United States

    3 publications · 125 citations

    3

    h-index

  2. RG
    Rajiv Gupta

    University of California, Riverside, United States

    3 publications · 125 citations

    3

    h-index

  3. HB
    Hamid Bagheri

    University of Nebraska–Lincoln, United States

    2 publications · 65 citations

    2

    h-index

  4. AS
    Alireza Sadeghi

    University of California, Irvine, United States

    2 publications · 65 citations

    2

    h-index

  5. PM
    Peter M. Chen

    University of Michigan, United States

    2 publications · 42 citations

    2

    h-index

1–5 of 115

Venues

  1. International Conference on Software Engineering

    Conference · 2 publications · 43 citations

    2

    h-index

  2. IEEE Transactions on Power Systems

    1 publications · 44 citations

    1

    h-index

  3. ACM Transactions on Design Automation of Electronic Systems

    TODAES · 1 publications · 22 citations

    1

    h-index

  4. Computer

    1 publications · 19 citations

    1

    h-index

  5. 1

    h-index

1–5