Test Optimization

Test Optimization is a methodological contribution in the field of drawdown testing that enhances the efficiency, accuracy, or reliability of test procedures by systematically refining testing parameters, protocols, or analytical approaches to achieve superior diagnostic or predictive outcomes.

188

Publications

7.1K

Citations

452

Authors

206

Institutions

Publications per year

2017–2026

33

Authors

452

  1. KC
    Krishnendu Chakrabarty

    Duke University, United States

    24 publications · 1.4K citations

    20

    h-index

  2. EJ
    Erik Jan Marinissen

    IMEC, Belgium

    10 publications · 989 citations

    10

    h-index

  3. BB
    Benoît Baudry

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    6 publications · 286 citations

    6

    h-index

  4. JJ
    Jean‐Marc Jezéquél

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    6 publications · 286 citations

    6

    h-index

  5. YL
    Yves Le Traon

    University of Luxembourg, Luxembourg

    6 publications · 286 citations

    6

    h-index

1–5 of 452

Venues

  1. Information and Software Technology

    7 publications · 412 citations

    7

    h-index

  2. 6

    h-index

  3. Journal of Systems and Software

    JSS · 4 publications · 182 citations

    4

    h-index

  4. IEEE Transactions on Reliability

    3 publications · 51 citations

    3

    h-index

  5. Psychometrika

    3 publications · 166 citations

    3

    h-index

1–5