Interprocedural Data-flow Analysis

Interprocedural Data-Flow Analysis is a systematic method for analyzing the flow of data across procedure boundaries in a program, distinguishing it from intra-procedural approaches by incorporating interprocedural control-flow and calling context to enable more precise global understanding of data dependencies.

204

Publications

18.5K

Citations

339

Authors

153

Institutions

Publications per year

2017–2026

8

Authors

339

  1. MJ
    Mary Jean Harrold

    Georgia Institute of Technology, United States

    12 publications · 605 citations

    11

    h-index

  2. ML
    Mary Lou Soffa

    University of Pittsburgh, United States

    9 publications · 651 citations

    9

    h-index

  3. KD
    Keith D. Cooper

    Rice University, United States

    8 publications · 437 citations

    8

    h-index

  4. BG
    Barbara G. Ryder

    Rutgers, The State University of New Jersey, United States

    8 publications · 288 citations

    8

    h-index

  5. KK
    Ken Kennedy

    Rice University, United States

    6 publications · 314 citations

    6

    h-index

1–5 of 339

Venues

  1. ACM SIGPLAN Notices

    14 publications · 605 citations

    12

    h-index

  2. 10

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 8 publications · 3.4K citations

    8

    h-index

  4. ACM SIGSOFT Software Engineering Notes

    SEN · 4 publications · 117 citations

    4

    h-index

  5. International Conference on Software Engineering

    Conference · 4 publications · 818 citations

    4

    h-index

1–5