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dc.creatorGonzález Enríquez, Josées
dc.creatorJiménez Ramírez, Andréses
dc.creatorDomínguez Mayo, Francisco Josées
dc.creatorGarcía García, Julián Albertoes
dc.date.accessioned2021-04-12T09:54:03Z
dc.date.available2021-04-12T09:54:03Z
dc.date.issued2020
dc.identifier.citationGonzález Enríquez, J., Jiménez Ramírez, A., Domínguez Mayo, F.J. y García García, J.A. (2020). Robotic Process Automation: A Scientific and Industrial Systematic Mapping Study. IEEE Access, 8, 39113-39129.
dc.identifier.issn2169-3536es
dc.identifier.urihttps://hdl.handle.net/11441/106955
dc.description.abstractThe automation of robotic processes has been experiencing an increasing trend of interest in recent times. However, most of literature describes only theoretical foundations on RPA or industrial results after implementing RPA in specific scenarios, especially in finance and outsourcing. This paper presents a systematic mapping study with the aim of analyzing the current state-of-the-art of RPA and identifying existing gaps in both, scientific and industrial literature. Firstly, this study presents an in-depth analysis of the 54 primary studies which formally describe the current state of the art of RPA. These primary studies were selected as a result of the conducting phase of the systematic review. Secondly, considering the RPA study performed by Forrester, this paper reviews 14 of the main commercial tools of RPA, based on a classification framework defined by 48 functionalities and evaluating the coverage of each of them. The result of the study concludes that there are certain phases of the RPA lifecycle that are already solved in the market. However, the Analysis phase is not covered in most tools. The lack of automation in such a phase is mainly reflected by the absence of technological solutions to look for the best candidate processes of an organization to be automated. Finally, some future directions and challenges are presented.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2016-76956-C3-2-Res
dc.description.sponsorshipCentro para el Desarrollo Tecnológico Industrial P011-19/E09es
dc.formatapplication/pdfes
dc.format.extent18es
dc.language.isoenges
dc.publisherIEEE Computer Societyes
dc.relation.ispartofIEEE Access, 8, 39113-39129.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRobotic process automationes
dc.subjectRPAes
dc.subjectSystematic mapping studyes
dc.titleRobotic Process Automation: A Scientific and Industrial Systematic Mapping Studyes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIN2016-76956-C3-2-Res
dc.relation.projectIDP011-19/E09es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9001110.es
dc.identifier.doi10.1109/ACCESS.2020.2974934es
dc.journaltitleIEEE Accesses
dc.publication.volumen8es
dc.publication.initialPage39113es
dc.publication.endPage39129es
dc.identifier.sisius21922632es
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). Españaes
dc.contributor.funderCentro para el Desarrollo Tecnológico Industrial (CDTI). Españaes

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