Code Impact Analysis

Code Impact Analysis is a method within the field of software maintenance and evolution that identifies and assesses the potential effects of changes to source code on other components in a software system, distinguishing itself by focusing specifically on syntactic and semantic dependencies in the codebase.

70

Publications

3.2K

Citations

144

Authors

71

Institutions

Publications per year

2017–2026

14

Authors

144

  1. RS
    Raúl Santelices

    University of Notre Dame, United States

    5 publications · 79 citations

    5

    h-index

  2. HC
    Haipeng Cai

    Washington State University, United States

    4 publications · 59 citations

    4

    h-index

  3. DP
    Denys Poshyvanyk

    William & Mary, United States

    4 publications · 219 citations

    4

    h-index

  4. MJ
    Mary Jean Harrold

    Georgia Institute of Technology, United States

    3 publications · 300 citations

    3

    h-index

  5. ER
    Emden R. Gansner

    AT&T (United States), United States

    3 publications · 113 citations

    3

    h-index

1–5 of 144

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 4 publications · 487 citations

    4

    h-index

  2. ACM SIGSOFT Software Engineering Notes

    SEN · 2 publications · 70 citations

    2

    h-index

  3. Journal of Software Evolution and Process

    JSEP · 2 publications · 40 citations

    2

    h-index

  4. 2013 35th International Conference on Software Engineering (ICSE)

    Conference · 2 publications · 25 citations

    2

    h-index

  5. 1

    h-index

1–5