A computational model of a natural language processing system for architectural technical debt management
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 mana...
- Autores:
-
Correal, D
PEREZ GUTIERREZ, BORIS RAINIERO
Castellanos, C
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/1563
- Acceso en línea:
- http://repositorio.ufps.edu.co/handle/ufps/1563
https://doi.org/10.1088/1742-6596/1587/1/012020
- Palabra clave:
- Rights
- openAccess
- License
- © Copyright 2021 IOP Publishing
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A computational model of a natural language processing system for architectural technical debt management |
| title |
A computational model of a natural language processing system for architectural technical debt management |
| spellingShingle |
A computational model of a natural language processing system for architectural technical debt management |
| title_short |
A computational model of a natural language processing system for architectural technical debt management |
| title_full |
A computational model of a natural language processing system for architectural technical debt management |
| title_fullStr |
A computational model of a natural language processing system for architectural technical debt management |
| title_full_unstemmed |
A computational model of a natural language processing system for architectural technical debt management |
| title_sort |
A computational model of a natural language processing system for architectural technical debt management |
| dc.creator.fl_str_mv |
Correal, D PEREZ GUTIERREZ, BORIS RAINIERO Castellanos, C |
| dc.contributor.author.none.fl_str_mv |
Correal, D PEREZ GUTIERREZ, BORIS RAINIERO Castellanos, C |
| description |
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. |
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2020 |
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2020-08-05 |
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2021-11-30T15:00:32Z |
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2021-11-30T15:00:32Z |
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Artículo de revista |
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https://doi.org/10.1088/1742-6596/1587/1/012020 |
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http://repositorio.ufps.edu.co/handle/ufps/1563 https://doi.org/10.1088/1742-6596/1587/1/012020 |
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eng |
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eng |
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Journal of Physics: Conference Series |
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Vol.1587 No.1.(2020) |
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7 |
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1(2020) |
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1 |
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1587 |
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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. |
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Journal of Physics: Conference Series |
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© Copyright 2021 IOP Publishing |
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Atribución 4.0 Internacional (CC BY 4.0) |
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© Copyright 2021 IOP Publishing Atribución 4.0 Internacional (CC BY 4.0) http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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07 páginas |
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Journal of Physics: Conference Series |
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Reino Unido |
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Correal, D2271566afcf5be3e006097345fead973PEREZ GUTIERREZ, BORIS RAINIERO99eb843d4117f9d72803d9b802e06cca600Castellanos, C484d6096a6e292fd72cf685c41051b752021-11-30T15:00:32Z2021-11-30T15:00:32Z2020-08-05http://repositorio.ufps.edu.co/handle/ufps/1563https://doi.org/10.1088/1742-6596/1587/1/012020Technical 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.07 páginasapplication/pdfengJournal of Physics: Conference SeriesReino UnidoJournal of Physics: Conference SeriesVol.1587 No.1.(2020)71(2020)11587Perez, 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.Journal of Physics: Conference Series© Copyright 2021 IOP Publishinginfo:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/1587/1/012020/metaA computational model of a natural language processing system for architectural technical debt managementArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Besker T, Martini A and Bosch J 2018 Managing architectural technical debt: A unified model and systematic literature review Journal of Systems and Software 135 1Falessi D, Cantone G, Kazman R and Kruchten P 2011 Decision-making techniques for software architecture design: A comparative survey ACM Computing Surveys 43 33Ernst N A, Bellomo S, Ozkaya I, Nord R L and Gorton I 2015 Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering (New York: Association for Computing Machinery) Measure it? manage it? ignore it? software practitioners and technical debt (esec/fse 2015) 50-60Jansen A, van der Ven J, Avgeriou P and Hammer D K 2007 Tool support for architectural decisions Working IEEE/IFIP Conference on Software Architecture (WICSA’07) (Mumbai: IEEE) 44-54Verdecchia R 2018 Architectural technical debt identification: Moving forward IEEE International Conference on Software Architecture Companion (ICSA-C) (Seattle: IEEE) 43-44Borrego G 2016 IEEE 11th International Conference on Global Software Engineering Workshops (ICGSEW) (Irvine: IEEE) Condensing architectural knowledge from unstructured textual media in agile gsd teams 69-72Musil J, Ekaputra F J, Sabou M, Ionescu T, Schall D, Musil A and Biffl S 2017 IEEE International Conference on Software Architecture (ICSA) (Gothenburg: IEEE) Continuous architectural knowledge integration: Making heterogeneous architectural knowledge available in large-scale organizations 189-192Li Z, Liang P and Avgeriou P 2014 Architectural debt management in value-oriented architecting Economics-Driven Software Architecture (Waltham: Morgan Kaufmann) 183-204Xiao L, Cai Y, Kazman R, Mo R and Feng Q 2016 Identifying and quantifying architectural debt IEEE/ACM 38th International Conference on Software Engineering (ICSE) (Austin: IEEE) 488-498Li Z, Avgeriou P and Liang P 2015 A systematic mapping study on technical debt and its management Journal of Systems and Software 101 193Avgeriou P, Kruchten P, Ozkaya I and Seaman C 2016 Managing technical debt in software engineering Dagstuhl Reports 6 110Li Z, Avgeriou P and Liang P 2015 12th Working IEEE/IFIP Conference on Software Architecture (Montreal: IEEE) Architectural technical debt identification based on architecture decisions and change scenarios 65-74Martini A, Sikander E and Madlani N 2018 A semi-automated framework for the identification and estimation of architectural technical debt: A comparative case-study on the modularization of a software component Information and Software Technology 93 264Zimmermann O, Koehler J, Leymann F, Polley R and Schuster N 2009 Managing architectural decision models with dependency relations, integrity constraints, and production rules Journal of Systems and Software 82 1249Nord R L, Ozkaya I, Kruchten P and Gonzalez-Rojas M 2012 IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture (Helsinki: IEEE) In search of a metric for managing architectural technical debt Joint Working 91-100ORIGINALA computational model of a natural language processing system for architectural technical debt management.pdfA computational model of a natural language processing system for architectural technical debt 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processing system for architectural technical debt management.pdf.jpgA computational model of a natural language processing system for architectural technical debt management.pdf.jpgGenerated Thumbnailimage/jpeg9127https://repositorio.ufps.edu.co/bitstream/ufps/1563/4/A%20computational%20model%20of%20a%20natural%20language%20processing%20system%20for%20architectural%20technical%20debt%20management.pdf.jpg5adb46c902f86c618e6d4a6e28841b15MD54open accessufps/1563oai:repositorio.ufps.edu.co:ufps/15632022-05-23 11:00:01.79open accessRepositorio Universidad Francisco de Paula 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0001-9249-175699eb843d4117f9d72803d9b802e06cca600 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