Decision Traceability

Decision Traceability is a formal method within the domain of design decision support that systematically records, links, and maintains the rationale, assumptions, and context of design decisions throughout their lifecycle to enable accountability, reproducibility, and evolution of decisions.

7

Publications

416

Citations

19

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

19

  1. GA
    Gunilla A. Sundström

    University of Kassel, Germany

    1 publications · 33 citations

    1

    h-index

  2. HK
    Hugues Kenfack

    Laboratoire Génie de Production, France

    1 publications · 24 citations

    1

    h-index

  3. NS
    Neal Schmitt

    Michigan State University, United States

    1 publications · 31 citations

    1

    h-index

  4. OR
    Olivier Ribaux

    University of Lausanne, Switzerland

    1 publications · 50 citations

    1

    h-index

  5. PT
    Peter Todd

    Queen's University, Canada

    1 publications · 228 citations

    1

    h-index

1–5 of 19

Venues

  1. 1

    h-index

  2. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 1 publications · 11 citations

    1

    h-index

  3. International Journal of Man-Machine Studies

    1 publications · 33 citations

    1

    h-index

  4. MIS Quarterly

    1 publications · 228 citations

    1

    h-index

  5. Forensic Science International

    1 publications · 50 citations

    1

    h-index

1–5