000060722 001__ 60722 000060722 005__ 20170327111935.0 000060722 0247_ $$2doi$$a10.1145/2945408.2945412 000060722 0248_ $$2sideral$$a98273 000060722 037__ $$aART-2016-98273 000060722 041__ $$aeng 000060722 100__ $$aGómez, Abel 000060722 245__ $$aTowards a UML Profile for Data Intensive Applications 000060722 260__ $$c2016 000060722 5060_ $$aAccess copy available to the general public$$fUnrestricted 000060722 5203_ $$aData 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. 000060722 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T27$$9info:eu-repo/grantAgreement/EUR/H2020/DICE-644869$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 DICE-644869$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-1-R 000060722 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000060722 655_4 $$ainfo:eu-repo/semantics/conferenceObject$$vinfo:eu-repo/semantics/submittedVersion 000060722 700__ $$0(orcid)0000-0002-8917-6584$$aMerseguer, José$$uUniversidad de Zaragoza 000060722 700__ $$aDi Nitto, Elisabetta 000060722 700__ $$aTamburri, Damian A. 000060722 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDepartamento de Informática e Ingeniería de Sistemas$$cLenguajes y Sistemas Informáticos 000060722 773__ $$g(2016), 18-23$$tQUDOS-2016 [Proceedings of the 2nd International Workshop on Quality-Aware DevOps] ISBN: 978-1-4503-4411-1 000060722 8564_ $$s806840$$uhttps://zaguan.unizar.es/record/60722/files/texto_completo.pdf$$yPreprint 000060722 8564_ $$s103384$$uhttps://zaguan.unizar.es/record/60722/files/texto_completo.jpg?subformat=icon$$xicon$$yPreprint 000060722 909CO $$ooai:zaguan.unizar.es:60722$$particulos$$pdriver 000060722 951__ $$a2017-03-22-11:57:20 000060722 980__ $$aARTICLE