Special section on uncertainty, modeling, CPSs and AI: honoring Prof. Antonio Vallecillo.
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| Title: | Special section on uncertainty, modeling, CPSs and AI: honoring Prof. Antonio Vallecillo. |
|---|---|
| Authors: | Troya, Javier1 (AUTHOR) jtroya@uma.es, Pierantonio, Alfonso2 (AUTHOR) alfonso.pierantonio@univaq.it |
| Source: | Software & Systems Modeling. Jun2025, Vol. 24 Issue 3, p595-600. 6p. |
| Subjects: | Engineering models, Artificial intelligence, Software engineering, Retirement |
| Abstract: | This special section contains high-quality papers in the topics of Prof. Antonio Vallecillo's research. This set of papers has been compiled in appreciation to Prof. Vallecillo's career and his contributions to the software engineering community in general and the modeling community in particular. After his recent retirement, this special section opens with a hindsight to Prof. Vallecillo's fruitful and varied career, where he made contributions in several different dimensions. Then, a set of selected papers in the fields of uncertainty, modeling, CPSs and AI to honor Prof. Vallecillo's contributions is presented. [ABSTRACT FROM AUTHOR] |
| Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185686976 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Special section on uncertainty, modeling, CPSs and AI: honoring Prof. Antonio Vallecillo. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Troya%2C+Javier%22">Troya, Javier</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jtroya@uma.es</i><br /><searchLink fieldCode="AR" term="%22Pierantonio%2C+Alfonso%22">Pierantonio, Alfonso</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> alfonso.pierantonio@univaq.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Software+%26+Systems+Modeling%22">Software & Systems Modeling</searchLink>. Jun2025, Vol. 24 Issue 3, p595-600. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Engineering+models%22">Engineering models</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Retirement%22">Retirement</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This special section contains high-quality papers in the topics of Prof. Antonio Vallecillo's research. This set of papers has been compiled in appreciation to Prof. Vallecillo's career and his contributions to the software engineering community in general and the modeling community in particular. After his recent retirement, this special section opens with a hindsight to Prof. Vallecillo's fruitful and varied career, where he made contributions in several different dimensions. Then, a set of selected papers in the fields of uncertainty, modeling, CPSs and AI to honor Prof. Vallecillo's contributions is presented. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185686976 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10270-025-01285-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 595 Subjects: – SubjectFull: Engineering models Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Software engineering Type: general – SubjectFull: Retirement Type: general Titles: – TitleFull: Special section on uncertainty, modeling, CPSs and AI: honoring Prof. Antonio Vallecillo. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Troya, Javier – PersonEntity: Name: NameFull: Pierantonio, Alfonso IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 16191366 Numbering: – Type: volume Value: 24 – Type: issue Value: 3 Titles: – TitleFull: Software & Systems Modeling Type: main |
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