Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction.
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| Title: | Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction. |
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| Authors: | Malik, Akshat1, akshat.ndun@gmail.com, Adams, Bram2, Hassan, Ahmed3 |
| Source: | Empirical Software Engineering; Jul2024, Vol. 29 Issue 4, p1-49, 49p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 177619134 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Malik%2C+Akshat%22">Malik, Akshat</searchLink><relatesTo>1</relatesTo>, <i>akshat.ndun@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Adams%2C+Bram%22">Adams, Bram</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Hassan%2C+Ahmed%22">Hassan, Ahmed</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Empirical+Software+Engineering%22">Empirical Software Engineering</searchLink>; Jul2024, Vol. 29 Issue 4, p1-49, 49p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177619134 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10664-024-10464-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 49 StartPage: 1 Titles: – TitleFull: Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Malik, Akshat – PersonEntity: Name: NameFull: Adams, Bram – PersonEntity: Name: NameFull: Hassan, Ahmed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13823256 Numbering: – Type: volume Value: 29 – Type: issue Value: 4 Titles: – TitleFull: Empirical Software Engineering Type: main |
| ResultId | 1 |