Software Vulnerability Discovery

Software Vulnerability Discovery is the systematic process of identifying previously unknown flaws or weaknesses in software systems that could be exploited to compromise security, distinguished from related analysis activities by its focus on the initial detection and characterization of such vulnerabilities prior to disclosure or remediation.

2K

Publications

113.8K

Citations

5K

Authors

1.2K

Institutions

Publications per year

2017–2026

1.2K

Authors

5K

  1. YL
    Yang Liu

    Nanyang Technological University, Singapore

    40 publications · 2.5K citations

    26

    h-index

  2. LW
    Laurie Williams

    North Carolina State University, United States

    30 publications · 2.3K citations

    23

    h-index

  3. DL
    David Lo

    Singapore Management University, Singapore

    24 publications · 1.3K citations

    21

    h-index

  4. YJ
    Yu Jiang

    Tsinghua University, China

    22 publications · 1K citations

    19

    h-index

  5. YK
    Yashwant K. Malaiya

    Colorado State University, United States

    20 publications · 1.2K citations

    17

    h-index

1–5 of 5K

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 43 publications · 3.2K citations

    32

    h-index

  2. arXiv (Cornell University)

    Repository · 96 publications · 3.1K citations

    29

    h-index

  3. Computers & Security

    45 publications · 1.8K citations

    28

    h-index

  4. Journal of Systems and Software

    JSS · 38 publications · 1.7K citations

    26

    h-index

  5. IEEE Access

    34 publications · 1.8K citations

    24

    h-index

1–5