60722 20170327111935.0 doi 10.1145/2945408.2945412 sideral 98273 ART-2016-98273 eng Gómez, Abel Towards a UML Profile for Data Intensive Applications 2016 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA/T27 info:eu-repo/grantAgreement/EUR/H2020/DICE-644869 This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 DICE-644869 info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-1-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/submittedVersion (orcid)0000-0002-8917-6584 Merseguer, José Universidad de Zaragoza Di Nitto, Elisabetta Tamburri, Damian A. 5007 570 Universidad de Zaragoza Departamento de Informática e Ingeniería de Sistemas Lenguajes y Sistemas Informáticos (2016), 18-23 QUDOS-2016 [Proceedings of the 2nd International Workshop on Quality-Aware DevOps] ISBN: 978-1-4503-4411-1 806840 http://zaguan.unizar.es/record/60722/files/texto_completo.pdf Preprint 103384 http://zaguan.unizar.es/record/60722/files/texto_completo.jpg?subformat=icon icon Preprint oai:zaguan.unizar.es:60722 articulos driver 2017-03-22-11:57:20 ARTICLE