Dependability Analysis

Dependability Analysis is a systematic evaluation method within the field of Fault-Tolerant Systems that assesses the degree to which a system can be relied upon to deliver services as specified, under the presence of faults, by quantifying attributes such as reliability, availability, maintainability, and safety.

4.1K

Publications

194.6K

Citations

7.1K

Authors

2K

Institutions

Publications per year

2017–2026

712

Authors

7.1K

  1. KS
    Kishor S. Trivedi

    Duke University, United States

    70 publications · 4.4K citations

    33

    h-index

  2. LX
    Liudong Xing

    University of Massachusetts Dartmouth, United States

    46 publications · 2K citations

    26

    h-index

  3. JD
    J.B. Dugan

    University of Virginia, United States

    35 publications · 2.4K citations

    24

    h-index

  4. BL
    Bev Littlewood

    City, University of London, United Kingdom

    32 publications · 2.5K citations

    21

    h-index

  5. RK
    Ravishankar K. Iyer

    University of Illinois Urbana-Champaign, United States

    22 publications · 1.5K citations

    21

    h-index

1–5 of 7.1K

Venues

  1. Reliability Engineering & System Safety

    332 publications · 20.7K citations

    74

    h-index

  2. IEEE Transactions on Reliability

    310 publications · 18.8K citations

    73

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 66 publications · 10.5K citations

    44

    h-index

  4. Journal of Systems and Software

    JSS · 64 publications · 4.3K citations

    36

    h-index

  5. IEEE Transactions on Computers

    46 publications · 4.4K citations

    34

    h-index

1–5