Dependability Metrics

Dependability Metrics is a formal framework within fault-tolerant computing that quantifies the degree of trustworthiness of a system in terms of its availability, reliability, safety, integrity, and maintainability under adverse conditions.

1.1K

Publications

55K

Citations

2.3K

Authors

903

Institutions

Publications per year

2017–2026

218

Authors

2.3K

  1. KS
    Kishor S. Trivedi

    Duke University, United States

    22 publications · 1.4K citations

    19

    h-index

  2. LX
    Liudong Xing

    University of Massachusetts Dartmouth, United States

    13 publications · 774 citations

    12

    h-index

  3. JA
    Jean Arlat

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    12 publications · 1.2K citations

    11

    h-index

  4. LC
    Lirong Cui

    Beijing Institute of Technology, China

    10 publications · 362 citations

    10

    h-index

  5. KK
    K. Kanoun

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    10 publications · 303 citations

    10

    h-index

1–5 of 2.3K

Venues

  1. Reliability Engineering & System Safety

    122 publications · 6.9K citations

    45

    h-index

  2. IEEE Transactions on Reliability

    65 publications · 2.8K citations

    29

    h-index

  3. Microelectronics Reliability

    62 publications · 1.4K citations

    24

    h-index

  4. Journal of Systems and Software

    JSS · 15 publications · 603 citations

    13

    h-index

  5. IEEE Transactions on Computers

    14 publications · 1.7K citations

    13

    h-index

1–5