Empirical Evaluation

Empirical Evaluation is a systematic academic method that belongs to the class of evaluation approaches relying on observable and measurable evidence, distinguished by its application of experimental, observational, or case-based data to assess the validity, effectiveness, or performance of architectural artifacts, decisions, or processes.

13.5K

Publications

944.2K

Citations

32.3K

Authors

5.4K

Institutions

Publications per year

2017–2026

4.1K

Authors

32.3K

  1. MH
    Mark Harman

    University College London, United Kingdom

    40 publications · 3.4K citations

    31

    h-index

  2. GR
    Gregg Rothermel

    University of Nebraska–Lincoln, United States

    40 publications · 3.3K citations

    29

    h-index

  3. DL
    David Lo

    Singapore Management University, Singapore

    33 publications · 2.2K citations

    26

    h-index

  4. TN
    Tien N. Nguyen

    Iowa State University, United States

    30 publications · 2.4K citations

    25

    h-index

  5. AO
    Alessandro Orso

    Georgia Institute of Technology, United States

    27 publications · 2.2K citations

    24

    h-index

1–5 of 32.3K

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 118 publications · 12.6K citations

    59

    h-index

  2. arXiv (Cornell University)

    Repository · 342 publications · 40.8K citations

    59

    h-index

  3. SSRN Electronic Journal

    Repository · 260 publications · 10.4K citations

    50

    h-index

  4. Empirical Software Engineering

    76 publications · 4.3K citations

    37

    h-index

  5. Sustainability

    111 publications · 4.3K citations

    35

    h-index

1–5