Interprocedural Dataflow Analysis

Interprocedural Dataflow Analysis is a static program analysis technique that extends intra-procedural dataflow analysis by propagating dataflow facts across procedure boundaries to compute precise global program properties in the presence of calls and returns.

213

Publications

11.5K

Citations

406

Authors

166

Institutions

Publications per year

2017–2026

17

Authors

406

  1. TR
    Thomas Reps

    University of Wisconsin–Madison, United States

    9 publications · 2K citations

    9

    h-index

  2. MJ
    Mary Jean Harrold

    Georgia Institute of Technology, United States

    7 publications · 303 citations

    7

    h-index

  3. KD
    Keith D. Cooper

    Rice University, United States

    7 publications · 518 citations

    7

    h-index

  4. BG
    Barbara G. Ryder

    Rutgers, The State University of New Jersey, United States

    7 publications · 226 citations

    7

    h-index

  5. PF
    Paul Feautrier

    École Normale Supérieure de Lyon, France

    6 publications · 789 citations

    6

    h-index

1–5 of 406

Venues

  1. ACM SIGPLAN Notices

    19 publications · 781 citations

    13

    h-index

  2. 8

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 7 publications · 255 citations

    7

    h-index

  4. ACM SIGSOFT Software Engineering Notes

    SEN · 4 publications · 134 citations

    4

    h-index

  5. Proceedings of the ACM on Programming Languages

    PACMPL · 3 publications · 192 citations

    3

    h-index

1–5