Intraprocedural Data-flow Analysis

Intraprocedural Data-Flow Analysis is a type of data-flow analysis that examines the flow of information within a single procedure or function, without considering interactions with or transformations across other procedures.

119

Publications

12.5K

Citations

230

Authors

100

Institutions

Publications per year

2017–2026

4

Authors

230

  1. BG
    Barbara G. Ryder

    Rutgers, The State University of New Jersey, United States

    9 publications · 340 citations

    9

    h-index

  2. ML
    Mary Lou Soffa

    University of Pittsburgh, United States

    8 publications · 639 citations

    8

    h-index

  3. KK
    Ken Kennedy

    Rice University, United States

    7 publications · 578 citations

    7

    h-index

  4. MJ
    Mary Jean Harrold

    Georgia Institute of Technology, United States

    5 publications · 323 citations

    5

    h-index

  5. JR
    James R. Larus

    University of Wisconsin–Madison, United States

    5 publications · 723 citations

    5

    h-index

1–5 of 230

Venues

  1. ACM SIGPLAN Notices

    11 publications · 638 citations

    11

    h-index

  2. 8

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 4 publications · 4.3K citations

    4

    h-index

  4. ACM SIGSOFT Software Engineering Notes

    SEN · 3 publications · 115 citations

    3

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 81 citations

    2

    h-index

1–5