Measurement Error Analysis

Measurement Error Analysis is a systematic methodological framework within software metrics that identifies, quantifies, and interprets deviations between observed measurement values and true or expected values to assess and improve the reliability and validity of software measurement processes.

241

Publications

14K

Citations

705

Authors

336

Institutions

Publications per year

2017–2026

61

Authors

705

  1. MF
    Michael F. Goodchild

    University of California, Santa Barbara, United States

    3 publications · 115 citations

    3

    h-index

  2. GA
    Greg A. Larsen

    Agilent Technologies (United States), United States

    2 publications · 45 citations

    2

    h-index

  3. JD
    Jayanta Dey

    University of Massachusetts Amherst, United States

    2 publications · 77 citations

    2

    h-index

  4. OA
    Olivier Armantier

    Federal Reserve Bank of New York, United States

    2 publications · 127 citations

    2

    h-index

  5. HM
    H. M. Blalock

    University of Michigan, United States

    2 publications · 79 citations

    2

    h-index

1–5 of 705

Venues

  1. 8

    h-index

  2. Journal of Marketing Research

    5 publications · 2.7K citations

    5

    h-index

  3. 5

    h-index

  4. Measurement

    5 publications · 141 citations

    5

    h-index

  5. 4

    h-index

1–5