Rule Dependency Analysis

Rule Dependency Analysis is a methodological framework within Business Rules Analysis that systematically identifies, classifies, and evaluates interdependencies among business rules to determine their hierarchical, logical, and operational relationships, distinguishing it from other rule analysis techniques by its focused examination of rule-to-rule influences and constraints.

13

Publications

402

Citations

51

Authors

25

Institutions

Publications per year

2017–2026

4

Authors

51

  1. BY
    Bo Yang

    Zhejiang University, China

    2 publications · 116 citations

    2

    h-index

  2. YC
    Yan Chen

    University of Michigan, United States

    2 publications · 116 citations

    2

    h-index

  3. YX
    Yang Xu

    New York University, United States

    2 publications · 70 citations

    2

    h-index

  4. KB
    Kai Bu

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 116 citations

    2

    h-index

  5. LE
    Li Erran Li

    Nokia (United States), United States

    2 publications · 116 citations

    2

    h-index

1–5 of 51

Venues

  1. IEEE Transactions on Network and Service Management

    TNSM · 2 publications · 91 citations

    2

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 1 publications · 14 citations

    1

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 1 publications · 23 citations

    1

    h-index

1–3