Stochastic Execution

Stochastic Execution is a model execution paradigm that belongs to the class of computational methods characterized by intrinsic randomness in its operational transitions, thereby producing variable outcomes across runs even with identical initial conditions.

15

Publications

626

Citations

43

Authors

22

Institutions

Publications per year

2017–2026

1

Authors

43

  1. JH
    James H. Anderson

    University of North Carolina at Chapel Hill, United States

    1 publications · 25 citations

    1

    h-index

  2. LG
    Luca Greco

    University of Pisa, Italy

    1 publications · 16 citations

    1

    h-index

  3. YL
    Yuying Li

    University of Waterloo, Canada

    1 publications · 19 citations

    1

    h-index

  4. TB
    Twan Basten

    Eindhoven University of Technology, Netherlands

    1 publications · 17 citations

    1

    h-index

  5. JK
    Jaroslav Kotrč

    Charles University, Czechia

    1 publications · 35 citations

    1

    h-index

1–5 of 43

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 14 citations

    1

    h-index

  2. Annals of Operations Research

    1 publications · 19 citations

    1

    h-index

  3. IERI Procedia

    1 publications · 14 citations

    1

    h-index

  4. Automated Software Engineering

    1 publications · 35 citations

    1

    h-index

  5. Lund University Publications (Lund University)

    Repository · 1 publications · 30 citations

    1

    h-index

1–5