Technical risk model of machine learning based software project development - A multinational empirical study using modified Delphi-AHP method.
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| Title: | Technical risk model of machine learning based software project development - A multinational empirical study using modified Delphi-AHP method. |
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| Authors: | Lin, Ching-Te1 (AUTHOR), Huang, Sun-Jen1 (AUTHOR) huangsj@mail.ntust.edu.tw |
| Source: | Information & Software Technology. Jul2024, Vol. 171, pN.PAG-N.PAG. 1p. |
| Database: | Business Source Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 177031798 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Technical risk model of machine learning based software project development - A multinational empirical study using modified Delphi-AHP method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lin%2C+Ching-Te%22">Lin, Ching-Te</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Sun-Jen%22">Huang, Sun-Jen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> huangsj@mail.ntust.edu.tw</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Information+%26+Software+Technology%22">Information & Software Technology</searchLink>. Jul2024, Vol. 171, pN.PAG-N.PAG. 1p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=177031798 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.infsof.2024.107449 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: Technical risk model of machine learning based software project development - A multinational empirical study using modified Delphi-AHP method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin, Ching-Te – PersonEntity: Name: NameFull: Huang, Sun-Jen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09505849 Numbering: – Type: volume Value: 171 Titles: – TitleFull: Information & Software Technology Type: main |
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