Dependency Graph Modeling

Dependency Graph Modeling is a formal methodological framework within dependency mapping that specifies the structure, relationships, and directional dependencies among system elements through a directed graph representation, where nodes denote components or artifacts and edges represent dependency relations, thereby enabling systematic analysis of interdependencies in software, organizational, or technical systems.

350

Publications

21.1K

Citations

988

Authors

379

Institutions

Publications per year

2017–2026

114

Authors

988

  1. ST
    Samuel T. King

    University of Illinois Urbana-Champaign, United States

    4 publications · 769 citations

    4

    h-index

  2. FL
    Fei Li

    Wuhan University, China

    4 publications · 178 citations

    4

    h-index

  3. HF
    Hao Fei

    Wuhan University, China

    4 publications · 178 citations

    4

    h-index

  4. MZ
    Min Zhang

    Soochow University, China

    4 publications · 180 citations

    4

    h-index

  5. PM
    Peter M. Chen

    University of Michigan, United States

    4 publications · 769 citations

    4

    h-index

1–5 of 988

Venues

  1. arXiv (Cornell University)

    Repository · 20 publications · 2.1K citations

    16

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 5 publications · 254 citations

    5

    h-index

  3. National Conference on Artificial Intelligence

    Conference · 3 publications · 152 citations

    3

    h-index

  4. Journal of Engineering Design

    3 publications · 152 citations

    3

    h-index

  5. ACM SIGPLAN Notices

    3 publications · 156 citations

    3

    h-index

1–5