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A computational model of a natural language processing system for architectural technical debt management
| dc.contributor.author | Correal, D | |
| dc.contributor.author | PEREZ GUTIERREZ, BORIS RAINIERO | |
| dc.contributor.author | Castellanos, C | |
| dc.date.accessioned | 2021-11-30T15:00:32Z | |
| dc.date.available | 2021-11-30T15:00:32Z | |
| dc.date.issued | 2020-08-05 | |
| dc.identifier.uri | http://repositorio.ufps.edu.co/handle/ufps/1563 | |
| dc.description.abstract | Technical debt is a concept applied to decisions taken to favor rapid production, at the expense of future capacities to evolve or improve the product or service. This concept is transversal to all sciences, especially in experimental physics and systems. However, technical debt is difficult to manage because there is a lack of time, expertise, or knowledge on how to perform it. This paper proposes a computational model of technical debt management in software architecture, based on observations made in software teams in their daily work. This computational model exploits natural language processing and model-testing techniques on software project artifacts to build a model that allows localizing and visualizing the impact produced by the technical debt and its payment strategies. This proposal aims to support teams of architects to explain the current and future impact of the debt injected as a result of decisions made. | eng |
| dc.format.extent | 07 páginas | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.language.iso | eng | spa |
| dc.publisher | Journal of Physics: Conference Series | spa |
| dc.relation.ispartof | Journal of Physics: Conference Series | |
| dc.rights | © Copyright 2021 IOP Publishing | eng |
| dc.source | https://iopscience.iop.org/article/10.1088/1742-6596/1587/1/012020/meta | spa |
| dc.title | A computational model of a natural language processing system for architectural technical debt management | eng |
| dc.type | Artículo de revista | spa |
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| dc.identifier.doi | https://doi.org/10.1088/1742-6596/1587/1/012020 | |
| dc.publisher.place | Reino Unido | spa |
| dc.relation.citationedition | Vol.1587 No.1.(2020) | spa |
| dc.relation.citationendpage | 7 | spa |
| dc.relation.citationissue | 1(2020) | spa |
| dc.relation.citationstartpage | 1 | spa |
| dc.relation.citationvolume | 1587 | spa |
| dc.relation.cites | Perez, B., Castellanos, C., & Correal, D. (2020, July). A computational model of a natural language processing system for architectural technical debt management. In Journal of Physics: Conference Series (Vol. 1587, No. 1, p. 012020). IOP Publishing. | |
| dc.relation.ispartofjournal | Journal of Physics: Conference Series | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.creativecommons | Atribución 4.0 Internacional (CC BY 4.0) | spa |
| dc.type.coar | http://purl.org/coar/resource_type/c_6501 | spa |
| dc.type.content | Text | spa |
| dc.type.driver | info:eu-repo/semantics/article | spa |
| dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
| oaire.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
| dc.type.version | info:eu-repo/semantics/publishedVersion | spa |
