Dense Data-flow Analysis

Dense Data-Flow Analysis is a data-flow analysis method that operates at the level of individual program points, propagating flow information across every instruction to achieve high precision by ensuring that data-flow values are computed for all locations within a program, thereby distinguishing it from sparse approaches that compute values only at specific, relevant points.

11

Publications

1.4K

Citations

31

Authors

11

Institutions

Publications per year

2017–2026

4

Authors

31

  1. CZ
    Charles Zhang

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

    2 publications · 133 citations

    2

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  2. GF
    Gang Fan

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

    2 publications · 133 citations

    2

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  3. JX
    Jingling Xue

    UNSW Sydney, Australia

    2 publications · 464 citations

    2

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  4. QS
    Qingkai Shi

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

    2 publications · 133 citations

    2

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  5. JZ
    Jinguo Zhou

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

    2 publications · 133 citations

    2

    h-index

1–5 of 31

Venues

  1. 1

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  2. 1

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  3. ACM SIGPLAN Notices

    1 publications · 18 citations

    1

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  4. Multimedia Tools and Applications

    1 publications · 21 citations

    1

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1–4