Probabilistic Response Time Analysis

Probabilistic Response Time Analysis is a method within response time analysis that characterizes the timing behavior of systems by modeling response times as random variables to quantify the likelihood of meeting timing constraints under uncertainty.

59

Publications

2.6K

Citations

142

Authors

69

Institutions

Publications per year

2017–2026

6

Authors

142

  1. TN
    Thomas Nolte

    Mälardalen University, Sweden

    4 publications · 183 citations

    4

    h-index

  2. LC
    Liliana Cucu‐Grosjean

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 148 citations

    4

    h-index

  3. MD
    Marco Di Natale

    Scuola Superiore Sant'Anna, Italy

    3 publications · 144 citations

    3

    h-index

  4. DM
    Dorin Maxim

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 69 citations

    3

    h-index

  5. AS
    Alberto Sangiovanni‐Vincentelli

    University of California, Berkeley, United States

    3 publications · 144 citations

    3

    h-index

1–5 of 142

Venues

  1. Journal of Mathematical Psychology

    3 publications · 316 citations

    3

    h-index

  2. Psychometrika

    3 publications · 127 citations

    3

    h-index

  3. Performance Evaluation

    2 publications · 33 citations

    2

    h-index

  4. IEEE Transactions on Industrial Informatics

    2 publications · 130 citations

    2

    h-index

  5. Psychonomic Bulletin & Review

    2 publications · 449 citations

    2

    h-index

1–5