Software Failure Detection

Software Failure Detection is a systematic process that identifies deviations in software behavior indicative of faults or errors, distinguishing it from hardware-based or network-centric failure detection by focusing exclusively on anomalies originating within software components or execution environments.

232

Publications

14K

Citations

544

Authors

241

Institutions

Publications per year

2017–2026

34

Authors

544

  1. AZ
    Andreas Zeller

    Saarland University, Germany

    8 publications · 2K citations

    8

    h-index

  2. AO
    Alessandro Orso

    Georgia Institute of Technology, United States

    6 publications · 382 citations

    6

    h-index

  3. NN
    Nachiappan Nagappan

    Microsoft (United States), United States

    5 publications · 1.1K citations

    5

    h-index

  4. RK
    Ravishankar K. Iyer

    University of Illinois Urbana-Champaign, United States

    5 publications · 142 citations

    5

    h-index

  5. RS
    R.E. Seviora

    University of Waterloo, Canada

    5 publications · 110 citations

    5

    h-index

1–5 of 544

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 14 publications · 1.9K citations

    14

    h-index

  2. IEEE Transactions on Reliability

    10 publications · 380 citations

    10

    h-index

  3. Journal of Systems and Software

    JSS · 6 publications · 279 citations

    6

    h-index

  4. Computer

    4 publications · 239 citations

    4

    h-index

  5. ACM SIGSOFT Software Engineering Notes

    SEN · 4 publications · 545 citations

    4

    h-index

1–5