Which process metrics can significantly improve defect prediction models? An empirical study.
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| Title: | Which process metrics can significantly improve defect prediction models? An empirical study. |
|---|---|
| Authors: | Madeyski, Lech1, Lech.Madeyski@pwr.edu.pl, Jureczko, Marian1, Marian.Jureczko@pwr.edu.pl |
| Source: | Software Quality Journal; Sep2015, Vol. 23 Issue 3, p393-422, 30p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 102289466 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Which process metrics can significantly improve defect prediction models? An empirical study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Madeyski%2C+Lech%22">Madeyski, Lech</searchLink><relatesTo>1</relatesTo>, <i>Lech.Madeyski@pwr.edu.pl</i><br /><searchLink fieldCode="AU" term="%22Jureczko%2C+Marian%22">Jureczko, Marian</searchLink><relatesTo>1</relatesTo>, <i>Marian.Jureczko@pwr.edu.pl</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Software+Quality+Journal%22">Software Quality Journal</searchLink>; Sep2015, Vol. 23 Issue 3, p393-422, 30p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=102289466 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11219-014-9241-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 393 Titles: – TitleFull: Which process metrics can significantly improve defect prediction models? An empirical study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Madeyski, Lech – PersonEntity: Name: NameFull: Jureczko, Marian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 09639314 Numbering: – Type: volume Value: 23 – Type: issue Value: 3 Titles: – TitleFull: Software Quality Journal Type: main |
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