Memory Leak Detection

Memory Leak Detection is a methodological construct within embedded debugging and memory management that identifies the unintended retention of allocated memory resources by a program, thereby distinguishing it from other memory analysis techniques through its specific focus on diagnosing un-deallocated memory blocks that accumulate over time and impair system efficiency.

115

Publications

5.3K

Citations

264

Authors

97

Institutions

Publications per year

2017–2026

23

Authors

264

  1. GX
    Guoqing Xu

    University of California, Irvine, United States

    7 publications · 365 citations

    7

    h-index

  2. AR
    Atanas Rountev

    The Ohio State University, United States

    6 publications · 336 citations

    6

    h-index

  3. MD
    Michael D. Bond

    The University of Texas at Austin, United States

    5 publications · 289 citations

    5

    h-index

  4. YS
    Yulei Sui

    University of Technology Sydney, Australia

    5 publications · 338 citations

    5

    h-index

  5. AA
    Artur Andrzejak

    Heidelberg University, Germany

    5 publications · 101 citations

    5

    h-index

1–5 of 264

Venues

  1. ACM SIGPLAN Notices

    7 publications · 416 citations

    7

    h-index

  2. Software Practice and Experience

    3 publications · 42 citations

    3

    h-index

  3. ACM SIGOPS Operating Systems Review

    2 publications · 28 citations

    2

    h-index

  4. Journal of Computer Science and Technology

    2 publications · 31 citations

    2

    h-index

  5. Journal of Systems and Software

    JSS · 2 publications · 57 citations

    2

    h-index

1–5