PredictPP: A Rank‐Based Weighted Ensemble Model for Prediction of Software Project Productivity.
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| Title: | PredictPP: A Rank‐Based Weighted Ensemble Model for Prediction of Software Project Productivity. |
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| Authors: | Shukla, Suyash1,2, Kumar, Sandeep2, sandeepkumargarg@gmail.com |
| Source: | Journal of Software: Evolution & Process; Oct2025, Vol. 37 Issue 10, p1-16, 16p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188926667 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: PredictPP: A Rank‐Based Weighted Ensemble Model for Prediction of Software Project Productivity. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shukla%2C+Suyash%22">Shukla, Suyash</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Sandeep%22">Kumar, Sandeep</searchLink><relatesTo>2</relatesTo>, <i>sandeepkumargarg@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Software%3A+Evolution+%26+Process%22">Journal of Software: Evolution & Process</searchLink>; Oct2025, Vol. 37 Issue 10, p1-16, 16p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188926667 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/smr.70059 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Titles: – TitleFull: PredictPP: A Rank‐Based Weighted Ensemble Model for Prediction of Software Project Productivity. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shukla, Suyash – PersonEntity: Name: NameFull: Kumar, Sandeep IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20477473 Numbering: – Type: volume Value: 37 – Type: issue Value: 10 Titles: – TitleFull: Journal of Software: Evolution & Process Type: main |
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