Technical Debt Assessment

Technical Debt Assessment is a systematic evaluation method used in software engineering and cloud migration contexts to identify, quantify, and prioritize accumulated deviations from optimal design, implementation, or architectural practices that may impede future system maintainability, scalability, or evolution.

247

Publications

11.7K

Citations

501

Authors

229

Institutions

Publications per year

2017–2026

140

Variants

Technical Debt Evaluation

Authors

501

  1. CS
    Carolyn Seaman

    University of Maryland, Baltimore County, United States

    25 publications · 1.8K citations

    18

    h-index

  2. RS
    Rodrigo Spínola

    Universidade Federal da Bahia, Brazil

    26 publications · 1.5K citations

    18

    h-index

  3. MM
    Manoel Mendonça

    Universidade Federal da Bahia, Brazil

    17 publications · 1K citations

    15

    h-index

  4. AM
    Antonio Martini

    Chalmers University of Technology, Sweden

    19 publications · 996 citations

    15

    h-index

  5. AC
    Alexander Chatzigeorgiou

    University of Macedonia, Greece

    16 publications · 672 citations

    15

    h-index

1–5 of 501

Venues

  1. Journal of Systems and Software

    JSS · 18 publications · 1.7K citations

    17

    h-index

  2. Information and Software Technology

    14 publications · 1.2K citations

    14

    h-index

  3. IEEE Software

    13 publications · 1.4K citations

    13

    h-index

  4. Empirical Software Engineering

    10 publications · 458 citations

    10

    h-index

  5. ACM SIGSOFT Software Engineering Notes

    SEN · 8 publications · 246 citations

    8

    h-index

1–5