Control Dependence Analysis

Control Dependence Analysis is a program analysis technique that identifies the set of instructions whose execution is conditionally influenced by the outcome of a control-flow decision, distinguishing it from data dependence by focusing on the branching structure of code rather than computational data relationships.

111

Publications

8.8K

Citations

218

Authors

95

Institutions

Publications per year

2017–2026

6

Authors

218

  1. KP
    Keshav Pingali

    The University of Texas at Austin, United States

    8 publications · 495 citations

    8

    h-index

  2. RJ
    Richard Johnson

    Cornell University, United States

    6 publications · 416 citations

    6

    h-index

  3. VS
    Vivek Sarkar

    Rice University, United States

    5 publications · 289 citations

    5

    h-index

  4. KK
    Ken Kennedy

    Rice University, United States

    5 publications · 758 citations

    5

    h-index

  5. MS
    Monica S. Lam

    Stanford University, United States

    5 publications · 765 citations

    5

    h-index

1–5 of 218

Venues

  1. ACM SIGPLAN Notices

    6 publications · 191 citations

    6

    h-index

  2. 4

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 3 publications · 316 citations

    3

    h-index

  4. ACM SIGSOFT Software Engineering Notes

    SEN · 3 publications · 96 citations

    3

    h-index

  5. eCommons (Cornell University)

    Repository · 2 publications · 40 citations

    2

    h-index

1–5