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dc.contributor.authorMartínez Fernández, Silverio Juan
dc.contributor.authorJovanovic, Petar
dc.contributor.authorFranch Gutiérrez, Javier
dc.contributor.authorJedlitschka, Andreas
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2019-01-31T10:08:26Z
dc.date.available2019-01-31T10:08:26Z
dc.date.issued2018
dc.identifier.citationMartínez-Fernández, S. [et al.]. Towards automated data integration in software analytics. A: International Workshop on Real-Time Business Intelligence and Analytics. "Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2018: Rio de Janeiro, Brazil, August 27, 2018". Barcelona: Association for Computing Machinery (ACM), 2018, p. 6:1-6:5.
dc.identifier.isbn978-1-4503-6607-6
dc.identifier.urihttp://hdl.handle.net/2117/127967
dc.description.abstractSoftware organizations want to be able to base their decisions on the latest set of available data and the real-time analytics derived from them. In order to support "real-time enterprise" for software organizations and provide information transparency for diverse stakeholders, we integrate heterogeneous data sources about software analytics, such as static code analysis, testing results, issue tracking systems, network monitoring systems, etc. To deal with the heterogeneity of the underlying data sources, we follow an ontology-based data integration approach in this paper and define an ontology that captures the semantics of relevant data for software analytics. Furthermore, we focus on the integration of such data sources by proposing two approaches: a static and a dynamic one. We first discuss the current static approach with a predefined set of analytic views representing software quality factors and further envision how this process could be automated in order to dynamically build custom user analysis using a semi-automatic platform for managing the lifecycle of analytics infrastructures.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshOntologies (Information retrieval)
dc.subject.lcshComputer software -- Evaluation
dc.subject.otherData integration
dc.subject.otherReal-time enterprise
dc.subject.otherOntology
dc.titleTowards automated data integration in software analytics
dc.typeConference lecture
dc.subject.lemacOntologies (Informàtica)
dc.subject.lemacProgramari -- Avaluació
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1145/3242153.3242159
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://dl.acm.org/citation.cfm?id=3242159
dc.rights.accessOpen Access
local.identifier.drac23613288
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/732253/EU/Quality-Aware Rapid Software Development/Q-RAPIDS
local.citation.authorMartínez-Fernández, S.; Jovanovic, P.; Franch, X.; Jedlitschka, A.
local.citation.contributorInternational Workshop on Real-Time Business Intelligence and Analytics
local.citation.pubplaceBarcelona
local.citation.publicationNameProceedings of the International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2018: Rio de Janeiro, Brazil, August 27, 2018
local.citation.startingPage6:1
local.citation.endingPage6:5


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