Dependency Discovery

Dependency Discovery is a systematic method within the domain of software and system analysis that identifies and maps explicit and implicit interdependencies among components, services, or artifacts to support effective decision-making in contexts such as migration automation and dependency management.

80

Publications

3.8K

Citations

229

Authors

98

Institutions

Publications per year

2017–2026

27

Authors

229

  1. FN
    Felix Naumann

    Hasso Plattner Institute, Germany

    10 publications · 519 citations

    10

    h-index

  2. TP
    Thorsten Papenbrock

    Hasso Plattner Institute, Germany

    8 publications · 361 citations

    8

    h-index

  3. SK
    Sebastian Kruse

    Hasso Plattner Institute, Germany

    6 publications · 254 citations

    6

    h-index

  4. AK
    Alexander Keller

    University of Würzburg, Germany

    4 publications · 273 citations

    4

    h-index

  5. GK
    Gautam Kar

    IBM Research - Thomas J. Watson Research Center, United States

    4 publications · 279 citations

    4

    h-index

1–5 of 229

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 261 citations

    4

    h-index

  2. BTW

    2 publications · 27 citations

    2

    h-index

  3. The Computer Journal

    2 publications · 614 citations

    2

    h-index

  4. ACM Transactions on Database Systems

    TODS · 2 publications · 69 citations

    2

    h-index

  5. Information and Software Technology

    2 publications · 45 citations

    2

    h-index

1–5