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dc.contributor.authorZavala Rodríguez, Edith Berenice
dc.contributor.authorFranch Gutiérrez, Javier
dc.contributor.authorMarco Gómez, Jordi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2018-10-18T08:59:30Z
dc.date.available2020-08-28T00:26:08Z
dc.date.issued2019-01
dc.identifier.citationZavala, E., Franch, X., Marco, J. Adaptive monitoring: A systematic mapping. "Information and software technology", Gener 2019, vol. 105, p. 161-189.
dc.identifier.issn0950-5849
dc.identifier.otherhttps://arxiv.org/abs/1809.00711
dc.identifier.urihttp://hdl.handle.net/2117/122569
dc.description.abstractContext: Adaptive monitoring is a method used in a variety of domains for responding to changing conditions. It has been applied in different ways, from monitoring systems’ customization to re-composition, in different application domains. However, to the best of our knowledge, there are no studies analyzing how adaptive monitoring differs or resembles among the existing approaches. Objective: To characterize the current state of the art on adaptive monitoring, specifically to: (a) identify the main concepts in the adaptive monitoring topic; (b) determine the demographic characteristics of the studies published in this topic; (c) identify how adaptive monitoring is conducted and evaluated by the different approaches; (d) identify patterns in the approaches supporting adaptive monitoring. Method: We have conducted a systematic mapping study of adaptive monitoring approaches following recommended practices. We have applied automatic search and snowballing sampling on different sources and used rigorous selection criteria to retrieve the final set of papers. Moreover, we have used an existing qualitative analysis method for extracting relevant data from studies. Finally, we have applied data mining techniques for identifying patterns in the solutions. Results: We have evaluated 110 studies organized in 81 approaches that support adaptive monitoring. By analyzing them, we have: (1) surveyed related terms and definitions of adaptive monitoring and proposed a generic one; (2) visualized studies’ demographic data and arranged the studies into approaches; (3) characterized the main approaches’ contributions; (4) determined how approaches conduct the adaptation process and evaluate their solutions. Conclusions This cross-domain overview of the current state of the art on adaptive monitoring may be a solid and comprehensive baseline for researchers and practitioners in the field. Especially, it may help in identifying opportunities of research; for instance, the need of proposing generic and flexible software engineering solutions for supporting adaptive monitoring in a variety of systems.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshSystem analysis -- Monitoring
dc.subject.lcshData mining
dc.subject.otherAdaptive monitoring
dc.subject.otherMonitoring reconfiguration
dc.subject.otherMonitor customization
dc.subject.otherState of the art
dc.subject.otherSystematic mapping study
dc.subject.otherLiterature review
dc.titleAdaptive monitoring: A systematic mapping
dc.typeArticle
dc.subject.lemacAnàlisi de sistemes
dc.subject.lemacMineria de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1016/j.infsof.2018.08.013
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0950584918301861
dc.rights.accessOpen Access
local.identifier.drac23369400
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TIN2016-79269-R
local.citation.authorZavala, E.; Franch, X.; Marco, J.
local.citation.publicationNameInformation and software technology
local.citation.volume105
local.citation.startingPage161
local.citation.endingPage189


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