Counterexample-guided Abstraction Refinement

Counterexample-Guided Abstraction Refinement is a verification method that iteratively refines an abstract model of a system by analyzing spurious counterexamples to progressively eliminate infeasible transitions until either a valid proof of correctness is obtained or a genuine counterexample is confirmed.

50

Publications

3.2K

Citations

113

Authors

56

Institutions

Publications per year

2017–2026

11

Authors

113

  1. HY
    Hongseok Yang

    University of Oxford, United Kingdom

    4 publications · 159 citations

    4

    h-index

  2. MH
    Malte Helmert

    University of Basel, Switzerland

    4 publications · 150 citations

    4

    h-index

  3. EM
    Edmund M. Clarke

    Carnegie Mellon University, United States

    4 publications · 1.2K citations

    4

    h-index

  4. RM
    Rupak Majumdar

    Max Planck Institute for Software Systems, Germany

    3 publications · 228 citations

    3

    h-index

  5. RJ
    Ranjit Jhala

    University of California San Diego, United States

    3 publications · 228 citations

    3

    h-index

1–5 of 113

Venues

  1. 4

    h-index

  2. ACM SIGPLAN Notices

    4 publications · 177 citations

    4

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 2 publications · 63 citations

    2

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 1 publications · 71 citations

    1

    h-index

  5. Logical Methods in Computer Science

    LMCS · 1 publications · 20 citations

    1

    h-index

1–5