Interleaving Analysis

Interleaving Analysis is a formal method in concurrent system verification that distinguishes itself by systematically examining all possible orderings of memory or computational operations across threads to identify unintended behaviors arising from non-deterministic execution sequences.

85

Publications

4K

Citations

194

Authors

75

Institutions

Publications per year

2017–2026

14

Authors

194

  1. SQ
    Shaz Qadeer

    Microsoft (United States), United States

    5 publications · 469 citations

    5

    h-index

  2. SL
    Shan Lu

    University of Chicago, United States

    5 publications · 322 citations

    5

    h-index

  3. AF
    Azadeh Farzan

    University of Toronto, Canada

    4 publications · 212 citations

    4

    h-index

  4. CF
    Cormac Flanagan

    University of California, Santa Cruz, United States

    4 publications · 289 citations

    4

    h-index

  5. MK
    Michalis Kokologiannakis

    Max Planck Institute for Software Systems, Germany

    3 publications · 143 citations

    3

    h-index

1–5 of 194

Venues

  1. ACM SIGPLAN Notices

    5 publications · 257 citations

    5

    h-index

  2. Proceedings of the ACM on Programming Languages

    PACMPL · 3 publications · 139 citations

    3

    h-index

  3. Electronic Notes in Theoretical Computer Science

    ENTCS · 2 publications · 71 citations

    2

    h-index

  4. Acta Informatica

    2 publications · 48 citations

    2

    h-index

  5. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 2 publications · 54 citations

    2

    h-index

1–5