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DICE: Quality-driven development of data-intensive cloud applications

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dc.creatorCasale, Giulianospa
dc.creatorArdagna, Danilospa
dc.creatorArtac, Matejspa
dc.creatorBarbier, Franckspa
dc.creatorDi Nitto, Elisabettaspa
dc.creatorHenry, Alexisspa
dc.creatorPérez, Juan F.spa
dc.date.accessioned2020-08-28T15:50:01Z
dc.date.available2020-08-28T15:50:01Z
dc.date.created2015-07-27spa
dc.description.abstractModel-driven engineering (MDE) often features quality assurance (QA) techniques to help developers creating software that meets reliability, efficiency, and safety requirements. In this paper, we consider the question of how quality-aware MDE should support data-intensive software systems. This is a difficult challenge, since existing models and QA techniques largely ignore properties of data such as volumes, velocities, or data location. Furthermore, QA requires the ability to characterize the behavior of technologies such as Hadoop/MapReduce, NoSQL, and stream-based processing, which are poorly understood from a modeling standpoint. To foster a community response to these challenges, we present the research agenda of DICE, a quality-aware MDE methodology for data-intensive cloud applications. DICE aims at developing a quality engineering tool chain offering simulation, verification, and architectural optimization for Big Data applications. We overview some key challenges involved in developing these tools and the underpinning models.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/MiSE.2015.21
dc.identifier.issnEISBN: 978-1-4673-7055-4
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/28891
dc.language.isoengspa
dc.publisherIEEEspa
dc.relation.citationEndPage38
dc.relation.citationStartPage78
dc.relation.citationTitle2015 IEEE/ACM 7th International Workshop on Modeling in Software Engineering
dc.relation.ispartofIEEE/ACM 7th International Workshop on Modeling in Software Engineering, EISBN: 978-1-4673-7055-4 (2015); pp. 78-38spa
dc.relation.urihttps://ieeexplore.ieee.org/abstract/document/7167407/footnotes#footnotesspa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.source2015 IEEE/ACM 7th International Workshop on Modeling in Software Engineeringspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordUnified modeling languagespa
dc.subject.keywordBig dataspa
dc.subject.keywordData modelsspa
dc.subject.keywordComputational modelingspa
dc.subject.keywordAnalytical modelsspa
dc.subject.keywordReliabilityspa
dc.subject.keywordSoftwarespa
dc.titleDICE: Quality-driven development of data-intensive cloud applicationsspa
dc.title.TranslatedTitleDICE: desarrollo impulsado por la calidad de aplicaciones en la nube con uso intensivo de datosspa
dc.typebookParteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaParte de librospa
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