Historical Data-based Estimation

Historical Data-Based Estimation is a method of Agile Estimation that derives effort or duration predictions for software development tasks by analyzing quantifiable past performance metrics from previously completed iterations or projects, distinguished from other estimation approaches by its reliance on empirical, organization-specific data rather than expert judgment or theoretical models.

43

Publications

1.6K

Citations

129

Authors

70

Institutions

Publications per year

2017–2026

15

Authors

129

  1. CL
    Chris Lokan

    Australian Defence Force Academy, Australia

    3 publications · 116 citations

    3

    h-index

  2. NC
    Naresh Chauhan

    J.C. Bose University of Science & Technology, YMCA, India

    3 publications · 99 citations

    3

    h-index

  3. RP
    Rashmi Popli

    J.C. Bose University of Science & Technology, YMCA, India

    3 publications · 99 citations

    3

    h-index

  4. EM
    Emília Mendes

    University of Auckland, New Zealand

    2 publications · 95 citations

    2

    h-index

  5. PJ
    Prashant Johri

    Galgotias University, India

    1 publications · 19 citations

    1

    h-index

1–5 of 129

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 2 publications · 500 citations

    2

    h-index

  2. Axioms

    1 publications · 21 citations

    1

    h-index

  3. IEEE Internet of Things Journal

    1 publications · 31 citations

    1

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 1 publications · 22 citations

    1

    h-index

  5. Energies

    1 publications · 25 citations

    1

    h-index

1–5