Program Dependence Analysis

Program Dependence Analysis is a static program analysis technique that identifies and represents the dependencies between program statements based on control and data flows, distinguishing it from other analyses by its focus on constructing a program dependence graph that captures both control dependence and data dependence for use in compiler optimizations, program transformations, and software engineering applications.

336

Publications

18.5K

Citations

664

Authors

256

Institutions

Publications per year

2017–2026

35

Authors

664

  1. MH
    Mark Harman

    University College London, United Kingdom

    17 publications · 511 citations

    16

    h-index

  2. JK
    Jens Krinke

    University College London, United Kingdom

    14 publications · 1.3K citations

    13

    h-index

  3. DB
    David Binkley

    Loyola University Maryland, United States

    13 publications · 358 citations

    12

    h-index

  4. MJ
    Mary Jean Harrold

    Georgia Institute of Technology, United States

    9 publications · 504 citations

    9

    h-index

  5. AP
    Andy Podgurski

    Case Western Reserve University, United States

    8 publications · 810 citations

    8

    h-index

1–5 of 664

Venues

  1. ACM SIGPLAN Notices

    20 publications · 1.1K citations

    14

    h-index

  2. 13

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 14 publications · 1.2K citations

    13

    h-index

  4. ACM SIGSOFT Software Engineering Notes

    SEN · 7 publications · 209 citations

    7

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 6 publications · 367 citations

    6

    h-index

1–5