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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributorUniversidad de Salamanca
dc.contributor.authorVazquez Ingelmo, Andrea
dc.contributor.authorGarcía Peñalvo, Francisco José
dc.contributor.authorTherón, Roberto
dc.contributor.authorAmo Filvà, Daniel
dc.contributor.authorFonseca Escudero, David
dc.date.accessioned2021-06-09T20:36:32Z
dc.date.accessioned2023-10-02T06:30:42Z
dc.date.available2021-06-09T20:36:32Z
dc.date.available2023-10-02T06:30:42Z
dc.date.created2019-09
dc.date.issued2019-11-05
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3262
dc.description.abstractDashboards are useful tools for generating knowledge and support decision-making processes, but the extended use of technologies and the increasingly available data asks for user-friendly tools that allow any user profile to exploit their data. Building tailored dashboards for any potential user profile would involve several resources and long development times, taking into account that dashboards can be framed in very different contexts that should be studied during the design processes to provide practical tools. This situation leads to the necessity of searching for methodologies that could accelerate these processes. The software product line paradigm is one recurrent method that can decrease the time-to-market of products by reusing generic core assets that can be tuned or configured to meet specific requirements. However, although this paradigm can solve issues regarding development times, the configuration of the dashboard is still a complex challenge; users’ goals, datasets, and context must be thoroughly studied to obtain a dashboard that fulfills the users’ necessities and that fosters insight delivery. This paper outlines the benefits and a potential approach to automatically configuring information dashboards by leveraging domain commonalities and code templates. The main goal is to test the functionality of a workflow that can connect external algorithms, such as artificial intelligence algorithms, to infer dashboard features and feed a generator based on the software product line paradigm.eng
dc.format.extent13 p.cat
dc.language.isoengcat
dc.publisherSpringercat
dc.relation.ispartofCluster Computing, 2020, Vol. 23cat
dc.rights© L'autor/a. Tots el drets reservats
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherEnsenyament universitari -- Innovacions tecnològiquescat
dc.subject.otherIntel·ligència artificial -- Aplicacions a l'educaciócat
dc.titleConnecting domain-specific features to source code: towards the automatization of dashboard generationcat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/acceptedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc004
dc.subject.udc378
dc.subject.udc62
dc.identifier.doihttps://doi.org/10.1007/s10586-019-03012-1cat


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