Process Consistency Assessment

Process Consistency Assessment is a methodological framework within retrospective validation that evaluates the stability and uniformity of historical process performance data to determine whether operational conditions have remained sufficiently invariant over time to support valid inferential conclusions.

19

Publications

891

Citations

53

Authors

38

Institutions

Publications per year

2017–2026

5

Authors

53

  1. PM
    Peter M. Garber

    National Bureau of Economic Research, United States

    2 publications · 123 citations

    2

    h-index

  2. MW
    Matthias Weidlich

    Humboldt-Universität zu Berlin, Germany

    2 publications · 236 citations

    2

    h-index

  3. JM
    Jan Mendling

    Vienna University of Economics and Business, Austria

    2 publications · 236 citations

    2

    h-index

  4. RP
    Robert P. Flood

    International Monetary Fund, United States

    2 publications · 123 citations

    2

    h-index

  5. VD
    Venkata Dinesh Reddy Kalli

    University of the Cumberlands, United States

    1 publications · 27 citations

    1

    h-index

1–5 of 53

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 2 publications · 330 citations

    2

    h-index

  2. Software & Systems Modeling

    SoSyM · 2 publications · 35 citations

    2

    h-index

  3. Journal of Applied Microbiology

    1 publications · 19 citations

    1

    h-index

  4. Journal of Software Evolution and Process

    JSEP · 1 publications · 21 citations

    1

    h-index

  5. Water Science & Technology

    1 publications · 15 citations

    1

    h-index

1–5