Dead Code Analysis

Dead Code Analysis is a static analysis technique that identifies program code which does not affect the program's output or behavior under any possible execution path, thereby distinguishing itself from other analysis methods by focusing exclusively on the detection of superfluous or unreachable code segments.

76

Publications

3.7K

Citations

171

Authors

74

Institutions

Publications per year

2017–2026

15

Authors

171

  1. GS
    Giuseppe Scanniello

    University of Basilicata, Italy

    4 publications · 101 citations

    4

    h-index

  2. FT
    Frank Tip

    IBM (United States), United States

    3 publications · 114 citations

    3

    h-index

  3. ER
    Emden R. Gansner

    AT&T (United States), United States

    3 publications · 113 citations

    3

    h-index

  4. JK
    Jens Knoop

    TU Wien, Austria

    3 publications · 251 citations

    3

    h-index

  5. RG
    Rajiv Gupta

    University of California, Riverside, United States

    3 publications · 150 citations

    3

    h-index

1–5 of 171

Venues

  1. ACM SIGPLAN Notices

    8 publications · 221 citations

    8

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 4 publications · 426 citations

    4

    h-index

  3. ACM Transactions on Software Engineering and Methodology

    TOSEM · 2 publications · 111 citations

    2

    h-index

  4. USENIX Security Symposium

    Conference · 1 publications · 22 citations

    1

    h-index

  5. Data Archiving and Networked Services (DANS)

    Repository · 1 publications · 17 citations

    1

    h-index

1–5