Stack Trace Analysis

Stack Trace Analysis is a debugging method that identifies and examines the sequence of function calls active in a program at a given point in execution to diagnose faults by revealing the hierarchical context of runtime errors.

59

Publications

2.8K

Citations

174

Authors

76

Institutions

Publications per year

2017–2026

16

Variants

Call Stack Analysis

Authors

174

  1. DH
    Dong H. Ahn

    Lawrence Livermore National Laboratory, United States

    5 publications · 263 citations

    5

    h-index

  2. BR
    Bronis R. de Supinski

    Lawrence Livermore National Laboratory, United States

    5 publications · 263 citations

    5

    h-index

  3. MS
    Martin Schulz

    Lawrence Livermore National Laboratory, United States

    5 publications · 263 citations

    5

    h-index

  4. BP
    Barton P. Miller

    University of Wisconsin–Madison, United States

    5 publications · 263 citations

    5

    h-index

  5. DA
    Dorian Arnold

    University of New Mexico, United States

    4 publications · 214 citations

    4

    h-index

1–5 of 174

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 2 publications · 165 citations

    2

    h-index

  2. ACM SIGPLAN Notices

    2 publications · 30 citations

    2

    h-index

  3. Digital Investigation

    2 publications · 55 citations

    2

    h-index

  4. 2

    h-index

  5. Design, Automation, and Test in Europe

    Conference · 1 publications · 17 citations

    1

    h-index

1–5