doi:10.1145/2945408.2945412engGómez, AbelMerseguer, JoséDi Nitto, ElisabettaTamburri, Damian A.Towards a UML Profile for Data Intensive ApplicationsART-2016-98273Data 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.2016http://zaguan.unizar.es/record/6072210.1145/2945408.2945412http://zaguan.unizar.es/record/60722oai:zaguan.unizar.es:60722info:eu-repo/grantAgreement/ES/DGA/T27info:eu-repo/grantAgreement/EUR/H2020/DICE-644869This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 DICE-644869info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-1-RQUDOS-2016 [Proceedings of the 2nd International Workshop on Quality-Aware DevOps] ISBN: 978-1-4503-4411-1 (2016), 18-23All rights reservedhttp://www.europeana.eu/rights/rr-f/info:eu-repo/semantics/openAccess