Towards a UML Profile for Data Intensive Applications
Financiación H2020 / H2020 Funds
Resumen: Data intensive applications that leverage Big Data technologies are rapidly gaining market trend. However, their design and quality assurance are far from satisfying software engineers needs. In fact, a CapGemini research shows that only 13% of organizations have achieved full-scale production for their Big Data implementations. We aim at addressing an early design and a quality evaluation of data intensive applications, being our goal to help software engineers on assessing quality metrics, such as the response time of the application. We address this goal by means of a quality analysis tool-chain. At the core of the tool, we are developing a Profile that converts the Unified Modeling Language into a domain specific modeling language for quality evaluation of data intensive applications.
Idioma: Inglés
DOI: 10.1145/2945408.2945412
Año: 2016
Publicado en: QUDOS-2016 [Proceedings of the 2nd International Workshop on Quality-Aware DevOps] ISBN: 978-1-4503-4411-1 (2016), 18-23
ISSN:

Factor impacto SCIMAGO:

Financiación: info:eu-repo/grantAgreement/ES/DGA/T27
Financiación: info:eu-repo/grantAgreement/EUR/H2020/DICE-644869
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-1-R
Tipo y forma: Comunicación congreso (PrePrint)
Área (Departamento): Lenguajes y Sistemas Informáticos (Departamento de Informática e Ingeniería de Sistemas)

Derechos Reservados Derechos reservados por el editor de la revista


Exportado de SIDERAL (2017-03-22-11:57:20)

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 Registro creado el 2017-03-22, última modificación el 2017-03-27


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