Model-based Debugging

Model-Based Debugging is a debugging methodology that systematically identifies and resolves defects in embedded systems by leveraging a formal model of the system’s expected behavior to generate, simulate, and validate dynamic execution traces against observed outcomes.

88

Publications

3.4K

Citations

194

Authors

83

Institutions

Publications per year

2017–2026

15

Authors

194

  1. MS
    Markus Stumptner

    University of South Australia, Australia

    14 publications · 445 citations

    14

    h-index

  2. FW
    Franz Wotawa

    Graz University of Technology, Austria

    14 publications · 402 citations

    13

    h-index

  3. WM
    Wolfgang Mayer

    University of South Australia, Australia

    8 publications · 280 citations

    8

    h-index

  4. PB
    Peter Bates

    University of Massachusetts Amherst, United States

    4 publications · 273 citations

    4

    h-index

  5. PF
    Peter Fritzson

    Linköping University, Sweden

    4 publications · 83 citations

    4

    h-index

1–5 of 194

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 468 citations

    3

    h-index

  2. International Joint Conference on Artificial Intelligence

    Conference · 2 publications · 27 citations

    2

    h-index

  3. Electronic Notes in Theoretical Computer Science

    ENTCS · 2 publications · 80 citations

    2

    h-index

  4. ACM SIGPLAN Notices

    2 publications · 51 citations

    2

    h-index

  5. SIMULATION

    2 publications · 63 citations

    2

    h-index

1–5