Dependency Graph Analysis

Dependency Graph Analysis is a methodological construct in Software Composition Analysis that involves the systematic examination of relationships among software components by modeling and analyzing their interdependencies in a graph structure, where nodes represent components and edges represent dependency relations.

502

Publications

26.3K

Citations

1.4K

Authors

506

Institutions

Publications per year

2017–2026

147

Authors

1.4K

  1. AE
    Ahmed E. Hassan

    Queen's University, Canada

    5 publications · 269 citations

    5

    h-index

  2. ST
    Samuel T. King

    University of Illinois Urbana-Champaign, United States

    4 publications · 769 citations

    4

    h-index

  3. DL
    David Lo

    Singapore Management University, Singapore

    4 publications · 89 citations

    4

    h-index

  4. PM
    Peter M. Chen

    University of Michigan, United States

    4 publications · 769 citations

    4

    h-index

  5. NW
    Norman Wilde

    University of West Florida, United States

    4 publications · 81 citations

    4

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 531 citations

    12

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 8 publications · 387 citations

    8

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 311 citations

    6

    h-index

  4. ACM SIGPLAN Notices

    5 publications · 814 citations

    5

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 101 citations

    4

    h-index

1–5