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An Empirical Study of Deep Learning Models for Vulnerability Detection.

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Title: An Empirical Study of Deep Learning Models for Vulnerability Detection.
Authors: Steenhoek, Benjamin1, benjis@iastate.edu, Rahman, Md Mahbubur1, mdrahman@iastate.edu, Jiles, Richard1, rdjiles@iastate.edu, Le, Wei1, weile@iastate.edu
Source: ICSE: International Conference on Software Engineering; 2023, p2237-2248, 12p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185196158
AccessLevel: 2
PubType: Conference
PubTypeId: conference
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  Data: An Empirical Study of Deep Learning Models for Vulnerability Detection.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1109/ICSE48619.2023.00188
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 2237
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      – TitleFull: An Empirical Study of Deep Learning Models for Vulnerability Detection.
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            NameFull: Steenhoek, Benjamin
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            NameFull: Rahman, Md Mahbubur
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            NameFull: Jiles, Richard
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              Text: 2023
              Type: published
              Y: 2023
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            – TitleFull: ICSE: International Conference on Software Engineering
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