Native Code Analysis

Native Code Analysis is the systematic examination of compiled machine-level instructions and low-level software components within a mobile application to understand functionality, structure, and potential vulnerabilities, distinguished from higher-level code analysis by its focus on platform-specific binary executables and absence of source-level abstractions.

80

Publications

3.4K

Citations

244

Authors

113

Institutions

Publications per year

2017–2026

33

Authors

244

  1. XL
    Xiapu Luo

    Hong Kong Polytechnic University, Hong Kong SAR China

    3 publications · 149 citations

    3

    h-index

  2. DI
    Duha Ibdah

    University of Michigan–Dearborn, United States

    3 publications · 55 citations

    3

    h-index

  3. GC
    George C. Necula

    University of California, Berkeley, United States

    3 publications · 233 citations

    3

    h-index

  4. WB
    Walter Binder

    Università della Svizzera italiana, Switzerland

    3 publications · 71 citations

    3

    h-index

  5. YS
    Yannis Smaragdakis

    National and Kapodistrian University of Athens, Greece

    3 publications · 69 citations

    3

    h-index

1–5 of 244

Venues

  1. ACM SIGPLAN Notices

    4 publications · 85 citations

    4

    h-index

  2. Proceedings of the ACM on Programming Languages

    PACMPL · 2 publications · 64 citations

    2

    h-index

  3. 2

    h-index

  4. Information and Software Technology

    2 publications · 108 citations

    2

    h-index

  5. Communications of the ACM

    2 publications · 168 citations

    2

    h-index

1–5