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The impact of hard and easy negative training data on vulnerability prediction performance.

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Title: The impact of hard and easy negative training data on vulnerability prediction performance.
Authors: Al Debeyan, Fahad1, f.aldebeyan@lancaster.ac.uk, Madeyski, Lech1,2, lech.madeyski@pwr.edu.pl, Hall, Tracy1, tracy.hall@lancaster.ac.uk, Bowes, David1, bowesd2@lancaster.ac.uk
Source: Journal of Systems & Software; May2024, Vol. 211, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 176036478
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176036478
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.jss.2024.112003
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      – Code: eng
        Text: English
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        StartPage: N.PAG
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      – TitleFull: The impact of hard and easy negative training data on vulnerability prediction performance.
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            NameFull: Al Debeyan, Fahad
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            NameFull: Madeyski, Lech
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            NameFull: Hall, Tracy
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            – D: 01
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              Text: May2024
              Type: published
              Y: 2024
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              Value: 211
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