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Statistical-based metric threshold setting method for software fault prediction in firmware projects: An industrial experience.

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Title: Statistical-based metric threshold setting method for software fault prediction in firmware projects: An industrial experience.
Authors: Amalfitano, Domenico1 (AUTHOR), De Luca, Marco1 (AUTHOR) marco.deluca2@unina.it, Rita Fasolino, Anna1 (AUTHOR), Tramontana, Porfirio1 (AUTHOR)
Source: Journal of Systems & Software. Jun2026, Vol. 236, pN.PAG-N.PAG. 1p.
Database: Business Source Ultimate
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  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 192304642
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Statistical-based metric threshold setting method for software fault prediction in firmware projects: An industrial experience.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Systems+%26+Software%22">Journal of Systems & Software</searchLink>. Jun2026, Vol. 236, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192304642
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.jss.2026.112818
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      – Code: eng
        Text: English
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      – TitleFull: Statistical-based metric threshold setting method for software fault prediction in firmware projects: An industrial experience.
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            NameFull: Amalfitano, Domenico
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            NameFull: De Luca, Marco
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            NameFull: Rita Fasolino, Anna
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            – D: 01
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              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 236
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            – TitleFull: Journal of Systems & Software
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