Execution Trace Analysis

Execution Trace Analysis is a method in parallel debugging that systematically examines recorded execution sequences of concurrent processes to identify synchronization errors, data races, and causality violations by reconstructing program behavior through temporal and spatial relationships among events.

1K

Publications

51.9K

Citations

2.1K

Authors

547

Institutions

Publications per year

2017–2026

111

Authors

2.1K

  1. XZ
    Xiangyu Zhang

    Purdue University West Lafayette, United States

    18 publications · 861 citations

    17

    h-index

  2. MS
    Martin Schulz

    Lawrence Livermore National Laboratory, United States

    17 publications · 666 citations

    15

    h-index

  3. AH
    Abdelwahab Hamou‐Lhadj

    Concordia University, Canada

    16 publications · 574 citations

    14

    h-index

  4. GR
    Grigore Roşu

    University of Illinois Urbana-Champaign, United States

    15 publications · 910 citations

    14

    h-index

  5. BL
    Ben Liblit

    University of Wisconsin–Madison, United States

    13 publications · 1.5K citations

    13

    h-index

1–5 of 2.1K

Venues

  1. ACM SIGPLAN Notices

    46 publications · 2K citations

    21

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 13 publications · 955 citations

    13

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 10 publications · 427 citations

    10

    h-index

  4. ACM SIGSOFT Software Engineering Notes

    SEN · 10 publications · 418 citations

    10

    h-index

  5. Electronic Notes in Theoretical Computer Science

    ENTCS · 10 publications · 477 citations

    10

    h-index

1–5