Deployment Analytics

Deployment Analytics is a scholarly method within software deployment research that systematically captures, analyzes, and interprets quantitative and qualitative data from deployment processes to evaluate deployment effectiveness, identify operational bottlenecks, and inform decision-making in software release management.

4

Publications

250

Citations

18

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

18

  1. HK
    Hannah Kramer

    Lawrence Berkeley National Laboratory, United States

    1 publications · 20 citations

    1

    h-index

  2. JC
    Jiajia Chen

    KTH Royal Institute of Technology, Sweden

    1 publications · 11 citations

    1

    h-index

  3. MH
    Mohd Heikal Husin

    Universiti Sains Malaysia, Malaysia

    1 publications · 18 citations

    1

    h-index

  4. GL
    Guanjing Lin

    Lawrence Berkeley National Laboratory, United States

    1 publications · 20 citations

    1

    h-index

  5. AR
    Arvind Rangaswamy

    Pennsylvania State University, United States

    1 publications · 201 citations

    1

    h-index

1–5 of 18

Venues

  1. Telecommunication Systems

    1 publications · 11 citations

    1

    h-index

  2. International Journal of Research in Marketing

    IJRM · 1 publications · 201 citations

    1

    h-index

  3. Energies

    1 publications · 20 citations

    1

    h-index

1–3