Towards an ontology-based recommender system for agile practices adoption

Autores
Roldán, María Luciana; Bollati, Verónica Andrea; Gonnet, Silvio
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Choosing the right agile practices to be adopted in a software development process is complex, especially for organizations with little experience and a high turnover of human resources. To select the best practices, it is necessary to consider the characteristics that describe the team, the project, and the context in which they will be applied. In this paper, we propose an ontology-based agile practices recommender. The ontology was built and populated with knowledge obtained from software projects of Argentine organizations. The recommender applies the FP-Growth algorithm to find the most suitable practices for the target profile. In addition, it discovers potential conflicts between the profile and the recommended practices.
Fil: Roldán, María Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Tecnológica Nacional. Instituto de Desarrollo y Diseño; Argentina.
Fil: Bollati, Verónica Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Tecnológica Nacional; Argentina.
Fil: Gonnet, Silvio. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Tecnológica Nacional; Argentina.
Peer Reviewed
Materia
agile practices
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2023-11-09T22:49:52Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/8776

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spelling Towards an ontology-based recommender system for agile practices adoptionRoldán, María LucianaBollati, Verónica AndreaGonnet, Silvioagile practicesChoosing the right agile practices to be adopted in a software development process is complex, especially for organizations with little experience and a high turnover of human resources. To select the best practices, it is necessary to consider the characteristics that describe the team, the project, and the context in which they will be applied. In this paper, we propose an ontology-based agile practices recommender. The ontology was built and populated with knowledge obtained from software projects of Argentine organizations. The recommender applies the FP-Growth algorithm to find the most suitable practices for the target profile. In addition, it discovers potential conflicts between the profile and the recommended practices.Fil: Roldán, María Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Tecnológica Nacional. Instituto de Desarrollo y Diseño; Argentina.Fil: Bollati, Verónica Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Tecnológica Nacional; Argentina.Fil: Gonnet, Silvio. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Tecnológica Nacional; Argentina.Peer Reviewed2023-11-09T22:49:52Z2023-11-09T22:49:52Z2022-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfhttp://hdl.handle.net/20.500.12272/877610.5753/cibse.2022.20980enginfo:eu-repo/semantics/openAccess2023-11-09T22:49:52ZAcceso abiertoreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-10-01T11:57:13Zoai:ria.utn.edu.ar:20.500.12272/8776instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-10-01 11:57:14.649Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Towards an ontology-based recommender system for agile practices adoption
title Towards an ontology-based recommender system for agile practices adoption
spellingShingle Towards an ontology-based recommender system for agile practices adoption
Roldán, María Luciana
agile practices
title_short Towards an ontology-based recommender system for agile practices adoption
title_full Towards an ontology-based recommender system for agile practices adoption
title_fullStr Towards an ontology-based recommender system for agile practices adoption
title_full_unstemmed Towards an ontology-based recommender system for agile practices adoption
title_sort Towards an ontology-based recommender system for agile practices adoption
dc.creator.none.fl_str_mv Roldán, María Luciana
Bollati, Verónica Andrea
Gonnet, Silvio
author Roldán, María Luciana
author_facet Roldán, María Luciana
Bollati, Verónica Andrea
Gonnet, Silvio
author_role author
author2 Bollati, Verónica Andrea
Gonnet, Silvio
author2_role author
author
dc.subject.none.fl_str_mv agile practices
topic agile practices
dc.description.none.fl_txt_mv Choosing the right agile practices to be adopted in a software development process is complex, especially for organizations with little experience and a high turnover of human resources. To select the best practices, it is necessary to consider the characteristics that describe the team, the project, and the context in which they will be applied. In this paper, we propose an ontology-based agile practices recommender. The ontology was built and populated with knowledge obtained from software projects of Argentine organizations. The recommender applies the FP-Growth algorithm to find the most suitable practices for the target profile. In addition, it discovers potential conflicts between the profile and the recommended practices.
Fil: Roldán, María Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Tecnológica Nacional. Instituto de Desarrollo y Diseño; Argentina.
Fil: Bollati, Verónica Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Tecnológica Nacional; Argentina.
Fil: Gonnet, Silvio. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Tecnológica Nacional; Argentina.
Peer Reviewed
description Choosing the right agile practices to be adopted in a software development process is complex, especially for organizations with little experience and a high turnover of human resources. To select the best practices, it is necessary to consider the characteristics that describe the team, the project, and the context in which they will be applied. In this paper, we propose an ontology-based agile practices recommender. The ontology was built and populated with knowledge obtained from software projects of Argentine organizations. The recommender applies the FP-Growth algorithm to find the most suitable practices for the target profile. In addition, it discovers potential conflicts between the profile and the recommended practices.
publishDate 2022
dc.date.none.fl_str_mv 2022-06
2023-11-09T22:49:52Z
2023-11-09T22:49:52Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12272/8776
10.5753/cibse.2022.20980
url http://hdl.handle.net/20.500.12272/8776
identifier_str_mv 10.5753/cibse.2022.20980
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2023-11-09T22:49:52Z
Acceso abierto
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rights_invalid_str_mv 2023-11-09T22:49:52Z
Acceso abierto
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application/pdf
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instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
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