Dynamic Program Analysis

Dynamic Program Analysis is a method of software analysis that observes the behavior of a program during execution to identify vulnerabilities and anomalies by monitoring runtime states and interactions, distinguishing it from static approaches that examine code without executing it.

680

Publications

44.7K

Citations

1.4K

Authors

447

Institutions

Publications per year

2017–2026

94

Authors

1.4K

  1. MD
    Michael D. Ernst

    University of Washington, United States

    20 publications · 2.7K citations

    18

    h-index

  2. AO
    Alessandro Orso

    Georgia Institute of Technology, United States

    11 publications · 516 citations

    11

    h-index

  3. BK
    Bogdan Korel

    Illinois Institute of Technology, United States

    9 publications · 2.2K citations

    9

    h-index

  4. RG
    Rajiv Gupta

    University of California, Riverside, United States

    9 publications · 1K citations

    9

    h-index

  5. NG
    Neelam Gupta

    University of Arizona, United States

    9 publications · 986 citations

    9

    h-index

1–5 of 1.4K

Venues

  1. ACM SIGPLAN Notices

    28 publications · 1.6K citations

    19

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 16 publications · 5.2K citations

    14

    h-index

  3. ACM SIGSOFT Software Engineering Notes

    SEN · 13 publications · 976 citations

    13

    h-index

  4. Operations Research

    10 publications · 750 citations

    10

    h-index

  5. Management Science

    9 publications · 1K citations

    9

    h-index

1–5