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Benutzerdefiniertes Cover
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Quality of information and communications technology : 13th international conference, QUATIC 2020, Faro, Portugal, September 9–11, 2020, proceedings / edited by Martin Shepperd, Fernando Brito e Abreu, Alberto Rodrigues da Silva, Ricardo Pérez-Castillo

Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Communications in computer and information science ; 1266 | Springer eBook CollectionVerlag: Cham : Springer International Publishing, 2020Verlag: Cham : Imprint: Springer, 2020Beschreibung: 1 Online-Ressource (XXII, 500 Seiten) : IllustrationenISBN:
  • 9783030587932
Schlagwörter: Andere physische Formen: 9783030587925 | 9783030587949 | Erscheint auch als: 9783030587925 Druck-Ausgabe | Erscheint auch als: 9783030587949 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-58793-2Online-Ressourcen: Zusammenfassung: Quality Aspects in Machine Learning, AI and Data Analytics -- Evidence-Based Software Quality Engineering -- Human and Artificial Intelligences for Software Evolution -- Process Modeling, Improvement and Assessment -- Software Quality Education and Training -- Quality Aspects in Quantum Computing -- Safety, Security and Privacy -- ICT Verification and Validation -- RE, MDD and Agile.Zusammenfassung: This book constitutes the refereed proceedings of the 13th International Conference on the Quality of Information and Communications Technology, QUATIC 2020, held in Faro, Portugal*, in September 2020. The 27 full papers and 12 short papers were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections: quality aspects in machine learning, AI and data analytics; evidence-based software quality engineering; human and artificial intelligences for software evolution; process modeling, improvement and assessment; software quality education and training; quality aspects in quantum computing; safety, security and privacy; ICT verification and validation; RE, MDD and agile. *The conference was held virtually due to the COVID-19 pandemic.PPN: PPN: 1734630604Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS
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