Schedule Exploration

Schedule Exploration is a systematic method within the domain of concurrent system analysis that identifies and examines possible thread interleavings to detect race condition vulnerabilities by differentiating benign from harmful execution schedules.

30

Publications

1.3K

Citations

86

Authors

44

Institutions

Publications per year

2017–2026

5

Authors

86

  1. SQ
    Shaz Qadeer

    Microsoft (United States), United States

    3 publications · 250 citations

    3

    h-index

  2. BL
    Brandon Lucia

    Carnegie Mellon University, United States

    2 publications · 64 citations

    2

    h-index

  3. KS
    Koushik Sen

    University of California, Berkeley, United States

    2 publications · 148 citations

    2

    h-index

  4. PP
    Pavel Parízek

    Charles University, Czechia

    3 publications · 52 citations

    2

    h-index

  5. ZR
    Zvonimir Rakamarić

    University of Utah, United States

    2 publications · 220 citations

    2

    h-index

1–5 of 86

Venues

  1. ACM SIGPLAN Notices

    2 publications · 121 citations

    2

    h-index

  2. Proceedings of the ACM on Programming Languages

    PACMPL · 1 publications · 22 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Access

    1 publications · 26 citations

    1

    h-index

  5. Computers & Industrial Engineering

    1 publications · 33 citations

    1

    h-index

1–5