Runtime Profiling

Runtime Profiling is a dynamic analysis technique within runtime systems that systematically observes and quantifies program behavior during execution to capture performance characteristics, resource usage, and operational patterns specific to the running instance.

235

Publications

10K

Citations

541

Authors

191

Institutions

Publications per year

2017–2026

24

Authors

541

  1. WB
    Walter Binder

    Università della Svizzera italiana, Switzerland

    14 publications · 329 citations

    12

    h-index

  2. MA
    Matthew Arnold

    IBM (United States), United States

    12 publications · 776 citations

    10

    h-index

  3. BC
    Brad Calder

    University of California San Diego, United States

    9 publications · 1.1K citations

    9

    h-index

  4. MH
    Michael Hind

    IBM (United States), United States

    9 publications · 490 citations

    9

    h-index

  5. PM
    Philippe Moret

    Università della Svizzera italiana, Switzerland

    8 publications · 236 citations

    8

    h-index

1–5 of 541

Venues

  1. ACM SIGPLAN Notices

    20 publications · 499 citations

    13

    h-index

  2. Software Practice and Experience

    8 publications · 243 citations

    8

    h-index

  3. ACM SIGSOFT Software Engineering Notes

    SEN · 4 publications · 91 citations

    4

    h-index

  4. ACM SIGARCH Computer Architecture News

    4 publications · 146 citations

    4

    h-index

  5. Electronic Notes in Theoretical Computer Science

    ENTCS · 3 publications · 70 citations

    3

    h-index

1–5