Context-sensitive Analysis

Context-Sensitive Analysis is a static program analysis technique that belongs to the family of abstract interpretation methods, distinguished by its ability to model the behavior of program components with respect to the calling context in which they are invoked, thereby enabling more precise inference of program properties by distinguishing between different call sites or execution paths.

453

Publications

33.3K

Citations

1K

Authors

433

Institutions

Publications per year

2017–2026

94

Variants

Context-sensitive Program Analysis

Authors

1K

  1. YS
    Yannis Smaragdakis

    National and Kapodistrian University of Athens, Greece

    11 publications · 913 citations

    10

    h-index

  2. AR
    Atanas Rountev

    The Ohio State University, United States

    9 publications · 1.1K citations

    9

    h-index

  3. JX
    Jingling Xue

    UNSW Sydney, Australia

    9 publications · 445 citations

    9

    h-index

  4. BG
    Barbara G. Ryder

    Rutgers, The State University of New Jersey, United States

    9 publications · 1.1K citations

    9

    h-index

  5. HO
    Hakjoo Oh

    Korea University, South Korea

    8 publications · 320 citations

    8

    h-index

1–5 of 1K

Venues

  1. ACM SIGPLAN Notices

    32 publications · 2.3K citations

    20

    h-index

  2. Proceedings of the ACM on Programming Languages

    PACMPL · 9 publications · 404 citations

    9

    h-index

  3. 9

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 375 citations

    4

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 4 publications · 125 citations

    4

    h-index

1–5