Feature Interaction Analysis

Feature Interaction Analysis is a methodological framework within Feature-Based Design that identifies and evaluates the synergistic or interfering effects between constituent features in a system to determine how their combined presence influences overall functionality, performance, or behavior beyond individual feature contributions.

174

Publications

7.8K

Citations

417

Authors

181

Institutions

Publications per year

2017–2026

50

Authors

417

  1. JM
    Joanne M. Atlee

    University of Waterloo, Canada

    7 publications · 194 citations

    7

    h-index

  2. EH
    Evan H. Magill

    University of Stirling, United Kingdom

    6 publications · 106 citations

    6

    h-index

  3. TO
    Tadashi Ohta

    Soka University, Japan

    6 publications · 95 citations

    6

    h-index

  4. LL
    Luigi Logrippo

    University of Ottawa, Canada

    6 publications · 96 citations

    6

    h-index

  5. ND
    Nancy D. Griffeth

    City University of New York, United States

    6 publications · 488 citations

    6

    h-index

1–5 of 417

Venues

  1. FIW

    17 publications · 342 citations

    13

    h-index

  2. Computer Networks

    11 publications · 315 citations

    10

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 38 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 135 citations

    3

    h-index

  5. ACM SIGSOFT Software Engineering Notes

    SEN · 3 publications · 88 citations

    3

    h-index

1–5