Assertion Inference

Assertion Inference is the systematic process of deriving formal logical properties that specify the intended behavior of a hardware or software system directly from its design or code, distinguishing it from manual assertion specification by automating the identification of temporal or functional constraints.

13

Publications

454

Citations

53

Authors

27

Institutions

Publications per year

2017–2026

4

Authors

53

  1. DA
    Deborah A. Siegele

    Texas A&M University, United States

    1 publications · 76 citations

    1

    h-index

  2. MS
    Maria Skeppstedt

    Stockholm University, Sweden

    1 publications · 42 citations

    1

    h-index

  3. LM
    Lynn M. Schriml

    University of Maryland, Baltimore, United States

    1 publications · 76 citations

    1

    h-index

  4. CA
    Carlo A. Furia

    ETH Zurich, Switzerland

    1 publications · 98 citations

    1

    h-index

  5. RD
    R. Devanathan

    Nanyang Technological University, Singapore

    1 publications · 38 citations

    1

    h-index

1–5 of 53

Venues

  1. IEEE Transactions on Robotics and Automation

    1 publications · 38 citations

    1

    h-index

  2. Nucleic Acids Research

    1 publications · 76 citations

    1

    h-index

  3. Journal of Counseling Psychology

    1 publications · 23 citations

    1

    h-index

  4. National Conference on Artificial Intelligence

    Conference · 1 publications · 15 citations

    1

    h-index

  5. Synthese

    1 publications · 12 citations

    1

    h-index

1–5