Context-sensitivity

Context-sensitivity is a static analysis property that distinguishes analyses by their ability to differentiate between different calling contexts of a function or procedure, thereby enabling more precise modeling of program behavior based on the context in which code is invoked.

418

Publications

29.6K

Citations

1.2K

Authors

493

Institutions

Publications per year

2017–2026

109

Authors

1.2K

  1. YS
    Yannis Smaragdakis

    National and Kapodistrian University of Athens, Greece

    14 publications · 1.1K citations

    13

    h-index

  2. GA
    George A. Bonanno

    Columbia University, United States

    9 publications · 607 citations

    9

    h-index

  3. BG
    Barbara G. Ryder

    Rutgers, The State University of New Jersey, United States

    8 publications · 1.1K citations

    8

    h-index

  4. HO
    Hakjoo Oh

    Korea University, South Korea

    7 publications · 271 citations

    7

    h-index

  5. OL
    Ondřej Lhoták

    University of Waterloo, Canada

    5 publications · 582 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. ACM SIGPLAN Notices

    14 publications · 939 citations

    13

    h-index

  2. Proceedings of the ACM on Programming Languages

    PACMPL · 10 publications · 452 citations

    10

    h-index

  3. Frontiers in Psychology

    7 publications · 620 citations

    7

    h-index

  4. 6

    h-index

  5. 6

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1–5