Static Error Analysis

Static Error Analysis is a systematic method within the field of error detection that involves the examination of software or computational systems without executing them, distinguishing it from dynamic approaches by identifying potential errors through syntactic, semantic, or structural analysis of static artifacts such as source code or design models.

128

Publications

5.7K

Citations

347

Authors

149

Institutions

Publications per year

2017–2026

34

Authors

347

  1. DH
    David Hovemeyer

    University of Maryland, College Park, United States

    6 publications · 753 citations

    6

    h-index

  2. PC
    Patrick Cousot

    École Normale Supérieure - PSL, France

    5 publications · 165 citations

    5

    h-index

  3. WP
    William Pugh

    University of Maryland, College Park, United States

    5 publications · 741 citations

    5

    h-index

  4. RG
    Robert Grimm

    New York University, United States

    4 publications · 143 citations

    4

    h-index

  5. JF
    Jérôme Ferêt

    École Normale Supérieure - PSL, France

    4 publications · 142 citations

    4

    h-index

1–5 of 347

Venues

  1. ACM SIGPLAN Notices

    5 publications · 138 citations

    5

    h-index

  2. Journal of Systems and Software

    JSS · 5 publications · 201 citations

    5

    h-index

  3. Software Practice and Experience

    3 publications · 621 citations

    3

    h-index

  4. Computer

    2 publications · 92 citations

    2

    h-index

  5. ACM SIGSOFT Software Engineering Notes

    SEN · 2 publications · 118 citations

    2

    h-index

1–5