Enhancing Software Reliability Forecasting Through a Hybrid ARIMA-ANN Model.
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| Title: | Enhancing Software Reliability Forecasting Through a Hybrid ARIMA-ANN Model. |
|---|---|
| Authors: | Samal, Umashankar1 (AUTHOR) umashankar@iiitm.ac.in, Kumar, Ajay1 (AUTHOR) |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). May2024, Vol. 49 Issue 5, p7571-7584. 14p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing Software Reliability Forecasting Through a Hybrid ARIMA-ANN Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Samal%2C+Umashankar%22">Samal, Umashankar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> umashankar@iiitm.ac.in</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Ajay%22">Kumar, Ajay</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Arabian+Journal+for+Science+%26+Engineering+%28Springer+Science+%26+Business+Media+B%2EV%2E+%29%22">Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. )</searchLink>. May2024, Vol. 49 Issue 5, p7571-7584. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=176689458 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13369-023-08486-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 7571 Titles: – TitleFull: Enhancing Software Reliability Forecasting Through a Hybrid ARIMA-ANN Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Samal, Umashankar – PersonEntity: Name: NameFull: Kumar, Ajay IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 2193567X Numbering: – Type: volume Value: 49 – Type: issue Value: 5 Titles: – TitleFull: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) Type: main |
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