Model-driven Impact Analysis

Model-Driven Impact Analysis is a systematic method for assessing the potential effects of changes in software systems by leveraging formal models as primary artifacts to trace, predict, and evaluate the propagation of impacts across system components.

54

Publications

1.9K

Citations

171

Authors

90

Institutions

Publications per year

2017–2026

18

Authors

171

  1. LB
    Lionel Briand

    University of Luxembourg, Luxembourg

    3 publications · 330 citations

    3

    h-index

  2. DK
    Dieter Krause

    Hamburg University of Technology, Germany

    3 publications · 51 citations

    3

    h-index

  3. MD
    Mireia Díaz

    Institut Català d'Oncologia, Spain

    2 publications · 98 citations

    2

    h-index

  4. MO
    Meredith O’Shea

    Institut Català d'Oncologia, Spain

    2 publications · 98 citations

    2

    h-index

  5. YL
    Yvan Labiche

    Carleton University, Canada

    2 publications · 302 citations

    2

    h-index

1–5 of 171

Venues

  1. Vaccine

    2 publications · 98 citations

    2

    h-index

  2. Automation in Construction

    1 publications · 31 citations

    1

    h-index

  3. Journal of rural and community development

    JRCD · 1 publications · 93 citations

    1

    h-index

  4. Software Quality Journal

    1 publications · 21 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

    1

    h-index

1–5