Parametric Cost Estimation

Parametric Cost Estimation is a quantitative cost modeling technique that uses statistical relationships between historical data and project parameters to predict resource costs, distinguishing itself from other cost estimation methods by relying on mathematical formulas derived from empirical data rather than direct expert judgment or detailed work breakdowns.

114

Publications

5.9K

Citations

253

Authors

131

Institutions

Publications per year

2017–2026

18

Authors

253

  1. HH
    Haytham H. Elmousalami

    The University of Melbourne, Australia

    5 publications · 420 citations

    5

    h-index

  2. BB
    Barry Boehm

    University of Southern California, United States

    4 publications · 402 citations

    4

    h-index

  3. RV
    Ricardo Valerdi

    Massachusetts Institute of Technology, United States

    3 publications · 76 citations

    3

    h-index

  4. MS
    Miguel‐Ángel Sicilia

    Universidad de Alcalá, Spain

    3 publications · 41 citations

    3

    h-index

  5. LA
    Lefteris Angelis

    Aristotle University of Thessaloniki, Greece

    3 publications · 83 citations

    3

    h-index

1–5 of 253

Venues

  1. 7

    h-index

  2. International Journal of Production Economics

    5 publications · 552 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 108 citations

    3

    h-index

  4. International Journal of Production Research

    3 publications · 230 citations

    3

    h-index

  5. Optical Engineering

    3 publications · 100 citations

    3

    h-index

1–5