Automatic Traceability

Automatic Traceability is a requirements traceability method that systematically identifies and establishes relationships between artifacts using automated means, distinguished from manual or semi-automated approaches by its reliance on computational algorithms without human intervention.

78

Publications

2.7K

Citations

167

Authors

86

Institutions

Publications per year

2017–2026

12

Variants

Automated Traceability

Authors

167

  1. JC
    Jane Cleland‐Huang

    DePaul University, United States

    14 publications · 495 citations

    12

    h-index

  2. JH
    Jane Huffman Hayes

    University of Kentucky, United States

    9 publications · 257 citations

    9

    h-index

  3. PG
    Paul Grünbacher

    Johannes Kepler University of Linz, Austria

    5 publications · 383 citations

    5

    h-index

  4. NN
    Nan Niu

    University of Cincinnati, United States

    5 publications · 126 citations

    5

    h-index

  5. AE
    Alexander Egyed

    Johannes Kepler University of Linz, Austria

    5 publications · 360 citations

    5

    h-index

1–5 of 167

Venues

  1. Journal of Systems and Software

    JSS · 2 publications · 90 citations

    2

    h-index

  2. IEEE Software

    1 publications · 117 citations

    1

    h-index

  3. Bell Labs Technical Journal

    1 publications · 27 citations

    1

    h-index

  4. heiDOK (Heidelberg University)

    Repository · 1 publications · 10 citations

    1

    h-index

  5. NASA Technical Reports Server (NASA)

    Repository · 1 publications · 25 citations

    1

    h-index

1–5