Early integration testing for entity reconciliation in the context of heterogeneous data sources
| Autor: | Raquel Blanco, Javier Tuya, María José Escalona, F. J. Domínguez-Mayo, José Gonzalez Enríquez |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
| Rok vydání: | 2018 |
| Předmět: |
Correctness
Integration testing Computer science Process (engineering) Big data Context (language use) 02 engineering and technology Software testing Data modeling Software Heterogeneous data sources 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Safety Risk Reliability and Quality computer.programming_language business.industry Specification-based testing 020207 software engineering Data science Early testing Entity reconciliation 020201 artificial intelligence & image processing Model-driven architecture Model-driven engineering business computer |
| Zdroj: | Scopus RUO. Repositorio Institucional de la Universidad de Oviedo instname idUS: Depósito de Investigación de la Universidad de Sevilla Universidad de Sevilla (US) idUS. Depósito de Investigación de la Universidad de Sevilla |
| Popis: | p. 538-556 This work was supported in part by the Spanish Ministry of Science and Technology, under the projects PERTEST (TIN2013-46928-C3-1-R), MeGUS (TIN2013-46928-C3-3-R), TestEAMos (TIN2016-76956-C3-1-R), POLOLAS (TIN2016-76956-C3-2-R), and SoftPLM Network (TIN2015-71938-REDT); in part by the Principality of Asturias (Spain), under the project GRUPIN14-007; in part by European Regional Development Fund; and in part by Fujitsu Laboratories of Europe. |
| Databáze: | OpenAIRE |
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