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Reutilización de software en la robótica industrial: un mapeo sistemático

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Reutilización de software en la robótica industrial: un mapeo sistemático

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dc.contributor.author Solis, A. es_ES
dc.contributor.author Hurtado, J. es_ES
dc.date.accessioned 2020-10-05T12:10:36Z
dc.date.available 2020-10-05T12:10:36Z
dc.date.issued 2020-09-30
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/151142
dc.description.abstract [ES] Existe una tendencia a utilizar los enfoques de reutilización de software en el dominio de los sistemas robóticos industriales, con el fin de acelerar su desarrollo. Aunque algunos estudios muestran los beneficios de desarrollar usando diferentes enfoques de reutilización, estas prácticas no se han incorporado masivamente en la industria, principalmente, debido al desarrollo de software propietario por parte de los fabricantes y a la diversidad del hardware subyacente. Sin embargo, estos estudios han sido de gran valor para avanzar en su adopción. A través de un mapeo sistemático de la literatura, se muestra la adopción de los diferentes enfoques de reutilización, dentro de los cuales se analizan los más utilizados como la ingeniería dirigida por modelos MDE (Model-Driven Engineering), el desarrollo basado en componentes CBSE (Component-based Software Engineering) y la arquitectura basada en servicios (SOA). Por otro lado, se analizan los marcos de trabajo por ser las soluciones más utilizados y en términos de herramientas, se enfatiza en ROS (Robot Operating System) como una plataforma de referencia para el desarrollo rápido de aplicaciones. El principal reto identificado en esta área de estudio es definir estrategias combinadas y prácticas de los enfoques de reutilización MDE, CBSE y SOA, con el fin de aprovechar las diferentes ventajas de reutilización que cada uno ofrece. es_ES
dc.description.abstract [EN] There is a tendency to use software reuse approaches in the domain of industrial robotic systems, to accelerate their development. Although some studies show the benefits of developing using different reuse approaches, these practices have not been massively incorporated in the industry, mainly due to the development of proprietary software by manufacturers and the diversity of the underlying hardware. However, these studies have been of great value in advancing their adoption. Through a systematic mapping of the literature, the adoption of different reuse approaches is shown, within which the most widely used are analyzed, such as Model-Driven Engineering (MDE), Component-based Software Engineering (CBSE) and Service-Oriented Architecture (SOA). On the other hand, the frameworks are analyzed because they are the most used solutions and in terms of tools, ROS (Robot Operating System) is emphasized as a reference platform for the rapid development of applications. The main challenge identified in this area of study is to define combined and practical strategies of the MDE, CBSE, and SOA reuse approaches, to take advantage of the different reuse advantages that each one offers.  es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Reusability es_ES
dc.subject Industrial robotics es_ES
dc.subject Robotic manipulator es_ES
dc.subject Robot programming es_ES
dc.subject Reutilización es_ES
dc.subject Robótica industrial es_ES
dc.subject Manipulador robótico es_ES
dc.subject Programación de robots es_ES
dc.title Reutilización de software en la robótica industrial: un mapeo sistemático es_ES
dc.title.alternative Software reuse in industrial robotics: A systematic mapping es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/riai.2020.13335
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Solis, A.; Hurtado, J. (2020). Reutilización de software en la robótica industrial: un mapeo sistemático. Revista Iberoamericana de Automática e Informática industrial. 17(4):354-367. https://doi.org/10.4995/riai.2020.13335 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/riai.2020.13335 es_ES
dc.description.upvformatpinicio 354 es_ES
dc.description.upvformatpfin 367 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.description.issue 4 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\13335 es_ES
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