Dataflow Verification

Dataflow Verification is a formal method for ensuring that the data dependencies, transformations, and communications among components in a dataflow model adhere to specified behavioral and temporal constraints.

45

Publications

2K

Citations

117

Authors

50

Institutions

Publications per year

2017–2026

4

Authors

117

  1. SL
    Sorin Lerner

    University of California San Diego, United States

    3 publications · 165 citations

    3

    h-index

  2. CC
    Craig Chambers

    University of Washington, United States

    3 publications · 165 citations

    3

    h-index

  3. NS
    Natalia Sidorova

    Eindhoven University of Technology, Netherlands

    2 publications · 98 citations

    2

    h-index

  4. SK
    Sriram K. Rajamani

    Microsoft (United States), United States

    2 publications · 35 citations

    2

    h-index

  5. ER
    Erika Rice

    UCLA Health, United States

    2 publications · 147 citations

    2

    h-index

1–5 of 117

Venues

  1. Journal of Systems and Software

    JSS · 2 publications · 75 citations

    2

    h-index

  2. Information Systems

    2 publications · 85 citations

    2

    h-index

  3. Journal of Information Security and Applications

    JISA · 1 publications · 29 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of the Association for Information Systems

    JAIS · 1 publications · 15 citations

    1

    h-index

1–5