License Text Analysis

License Text Analysis is a methodological framework within open licensing research that systematically examines the textual content of software or content licenses to identify, interpret, and classify legal permissions, restrictions, and obligations, distinguishing it from broader compliance or policy assessment tools by its focused, text-centric analytical approach.

8

Publications

294

Citations

21

Authors

12

Institutions

Publications per year

2017–2026

5

Authors

21

  1. YM
    Yuki Manabe

    Kyoto University, Japan

    3 publications · 154 citations

    3

    h-index

  2. GM
    Georgia M. Kapitsaki

    University of Cyprus, Cyprus

    2 publications · 49 citations

    2

    h-index

  3. DM
    Daniel M. Germán

    University of Victoria, Canada

    2 publications · 133 citations

    2

    h-index

  4. KI
    Katsuro Inoue

    The University of Osaka, Japan

    2 publications · 133 citations

    2

    h-index

  5. ZL
    Zheli Liu

    Nankai University, China

    1 publications · 11 citations

    1

    h-index

1–5 of 21

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 1 publications · 33 citations

    1

    h-index

  2. Frontiers in Medicine

    1 publications · 67 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

    1

    h-index

  4. Empirical Software Engineering

    1 publications · 35 citations

    1

    h-index

  5. ACM Transactions on Software Engineering and Methodology

    TOSEM · 1 publications · 21 citations

1–5