Automatic Test Pattern Generation

Automatic Test Pattern Generation is a computational method in the field of design for testability that systematically determines input stimuli required to detect faults in digital circuits by analyzing circuit structure and fault models.

724

Publications

29K

Citations

1.3K

Authors

368

Institutions

Publications per year

2017–2026

45

Variants

Atpg

Authors

1.3K

  1. SR
    S.M. Reddy

    University of Iowa, United States

    35 publications · 1.7K citations

    21

    h-index

  2. JP
    J.H. Patel

    University of Illinois Urbana-Champaign, United States

    20 publications · 1.8K citations

    19

    h-index

  3. JR
    Janusz Rajski

    Mentor Technologies, United States

    21 publications · 662 citations

    17

    h-index

  4. KC
    Kwang‐Ting Cheng

    University of California, Santa Barbara, United States

    21 publications · 1.2K citations

    17

    h-index

  5. IP
    Irith Pomeranz

    University of Iowa, United States

    26 publications · 1.4K citations

    16

    h-index

1–5 of 1.3K

Venues

  1. 37

    h-index

  2. IEEE Transactions on Computers

    30 publications · 2.2K citations

    22

    h-index

  3. 16

    h-index

  4. IEEE Design & Test of Computers

    14 publications · 683 citations

    13

    h-index

  5. Design Automation Conference

    Conference · 11 publications · 388 citations

    11

    h-index

1–5