Concepedia

Sparse Data-flow Analysis

Sparse Data-Flow Analysis is a data-flow analysis technique that restricts value computations to program points where variables are actually defined or used, thereby improving efficiency by avoiding unnecessary propagation of information through sparse subsets of the control-flow graph.

20

Publications

1.8K

Citations

41

Authors

15

Institutions

Publications per year

2017–2026

6

Parents

Publications

20

SVF: interprocedural static value-flow analysis in LLVM

Yulei Sui, Jingling Xue · 2016 · 410 citations · Full text

, , +15

Efficient purely-dynamic information flow analysis

Thomas H. Austin, Cormac Flanagan · 2009 · 197 citations

, , +12

Automatic construction of sparse data flow evaluation graphs

Jong-Deok Choi, Ron K. Cytron, Jeanne Ferrante · 1991 · 192 citations

, , +10

Static memory leak detection using full-sparse value-flow analysis

Yulei Sui, Ye Ding, Jingling Xue · 2012 · 151 citations

, , +14

Detecting Memory Leaks Statically with Full-Sparse Value-Flow Analysis

Yulei Sui, Ye Ding, Jingling Xue · IEEE Transactions on Software Engineering · 2014 · 122 citations · Full text

, , +15

1–5 of 20

Authors

41

  1. JX
    Jingling Xue

    UNSW Sydney, Australia

    7 publications · 921 citations

    7

    h-index

  2. YS
    Yulei Sui

    University of Technology Sydney, Australia

    5 publications · 789 citations

    5

    h-index

  3. CZ
    Charles Zhang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 155 citations

    3

    h-index

  4. RW
    Rongxin Wu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 155 citations

    3

    h-index

  5. QS
    Qingkai Shi

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 155 citations

    3

    h-index

1–5 of 41

Institutions

15

  1. UNSW Sydney

    Sydney, Australia

    7 h-index

    16 publications

    2K citations

  2. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    3 h-index

    11 publications

    598 citations

  3. Microsoft (United States)

    Redmond, United States

    2 h-index

    5 publications

    500 citations

  4. McGill University

    Montreal, Canada

    2 h-index

    3 publications

    200 citations

  5. University of California, Santa Cruz

    Santa Cruz, United States

    2 h-index

    4 publications

    420 citations

  6. University of California San Diego

    San Diego, United States

    1 h-index

    1 publications

    27 citations

  7. University of Chinese Academy of Sciences

    Beijing, China

    1 h-index

    6 publications

    192 citations

  8. Cornell University

    Ithaca, United States

    1 h-index

    1 publications

    20 citations

1–8 of 15

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 2 publications · 174 citations

    2

    h-index

  2. ACM SIGPLAN Notices

    2 publications · 31 citations

    2

    h-index

  3. eCommons (Cornell University)

    Repository · 1 publications · 20 citations

    1

    h-index

  4. eScholarship@McGill (McGill)

    Repository · 1 publications · 26 citations

    1

    h-index

  5. 1

    h-index

1–5