Clone Detection In Models

Clone Detection in Models is a model-level analysis technique that identifies duplicated or highly similar fragments within or across software models, distinguishing itself by focusing on structural and semantic redundancy specific to model-based representations rather than textual or code-level artifacts.

33

Publications

1.1K

Citations

55

Authors

23

Institutions

Publications per year

2017–2026

8

Authors

55

  1. JR
    James R. Cordy

    Queen's University, Canada

    15 publications · 306 citations

    12

    h-index

  2. MS
    Matthew Stephan

    Queen's University, Canada

    13 publications · 263 citations

    12

    h-index

  3. MH
    Manar H. Alalfi

    Queen's University, Canada

    7 publications · 173 citations

    7

    h-index

  4. AS
    Andrew Stevenson

    Queen's University, Canada

    6 publications · 150 citations

    6

    h-index

  5. BH
    Benjamin Hummel

    Technical University of Munich, Germany

    4 publications · 314 citations

    4

    h-index

1–5 of 55

Venues

  1. Software & Systems Modeling

    SoSyM · 1 publications · 69 citations

    1

    h-index

  2. Journal of Computer Languages

    1 publications · 39 citations

    1

    h-index

  3. Molecular Ecology

    1 publications · 34 citations

    1

    h-index

  4. Software Testing Verification and Reliability

    STVR · 1 publications · 14 citations

    1

    h-index

  5. Information Systems

    1 publications · 35 citations

    1

    h-index

1–5