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
.jpg)
- Institución
- Universidad Tecnológica Nacional
- OAI Identificador
- oai:ria.utn.edu.ar:20.500.12272/8776
Ver los metadatos del registro completo
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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 |
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2022-06 2023-11-09T22:49:52Z 2023-11-09T22:49:52Z |
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eng |
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