Towards Sentiment Analysis in Agile Development Environments

Autores
Gramajo, María Guadalupe; Ballejos, Luciana C.; Ale, Mariel Alejandra
Año de publicación
2019
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In agile software development projects, user stories are written in natural language in order to describe the functionalities and features requested by interested parties. Given the ambiguous nature of natural language, user stories may reflect feelings intrinsically expressed by the product owner during requirements education tasks. While their visualization and identification are complex, word processing and sentiment analysis techniques can be applied to extract useful and valuable information for the development team. For that reason, this paper proposes a methodology to analyze the affective dimension of user stories, considering the feelings and emotions that affect the communication process amongteam members and identify how these factors impact the software development process, specifically in activities related to the definition and specification of requirements.
Special Issue dedicated to JAIIO 2018 (Jornadas Argentinas de Informática).
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Affective dimension
User stories
Communication
Requirements
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/135042
Acceder
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Towards Sentiment Analysis in Agile Development EnvironmentsGramajo, María GuadalupeBallejos, Luciana C.Ale, Mariel AlejandraCiencias InformáticasAffective dimensionUser storiesCommunicationRequirementsIn agile software development projects, user stories are written in natural language in order to describe the functionalities and features requested by interested parties. Given the ambiguous nature of natural language, user stories may reflect feelings intrinsically expressed by the product owner during requirements education tasks. While their visualization and identification are complex, word processing and sentiment analysis techniques can be applied to extract useful and valuable information for the development team. For that reason, this paper proposes a methodology to analyze the affective dimension of user stories, considering the feelings and emotions that affect the communication process amongteam members and identify how these factors impact the software development process, specifically in activities related to the definition and specification of requirements.Special Issue dedicated to JAIIO 2018 (Jornadas Argentinas de Informática).Sociedad Argentina de Informática e Investigación Operativa2019-07-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf77-92http://sedici.unlp.edu.ar/handle/10915/135042spainfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/86info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-05T13:13:22Zoai:sedici.unlp.edu.ar:10915/135042Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-05 13:13:22.818SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Towards Sentiment Analysis in Agile Development Environments
title Towards Sentiment Analysis in Agile Development Environments
spellingShingle Towards Sentiment Analysis in Agile Development Environments
Gramajo, María Guadalupe
Ciencias Informáticas
Affective dimension
User stories
Communication
Requirements
title_short Towards Sentiment Analysis in Agile Development Environments
title_full Towards Sentiment Analysis in Agile Development Environments
title_fullStr Towards Sentiment Analysis in Agile Development Environments
title_full_unstemmed Towards Sentiment Analysis in Agile Development Environments
title_sort Towards Sentiment Analysis in Agile Development Environments
dc.creator.none.fl_str_mv Gramajo, María Guadalupe
Ballejos, Luciana C.
Ale, Mariel Alejandra
author Gramajo, María Guadalupe
author_facet Gramajo, María Guadalupe
Ballejos, Luciana C.
Ale, Mariel Alejandra
author_role author
author2 Ballejos, Luciana C.
Ale, Mariel Alejandra
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Affective dimension
User stories
Communication
Requirements
topic Ciencias Informáticas
Affective dimension
User stories
Communication
Requirements
dc.description.none.fl_txt_mv In agile software development projects, user stories are written in natural language in order to describe the functionalities and features requested by interested parties. Given the ambiguous nature of natural language, user stories may reflect feelings intrinsically expressed by the product owner during requirements education tasks. While their visualization and identification are complex, word processing and sentiment analysis techniques can be applied to extract useful and valuable information for the development team. For that reason, this paper proposes a methodology to analyze the affective dimension of user stories, considering the feelings and emotions that affect the communication process amongteam members and identify how these factors impact the software development process, specifically in activities related to the definition and specification of requirements.
Special Issue dedicated to JAIIO 2018 (Jornadas Argentinas de Informática).
Sociedad Argentina de Informática e Investigación Operativa
description In agile software development projects, user stories are written in natural language in order to describe the functionalities and features requested by interested parties. Given the ambiguous nature of natural language, user stories may reflect feelings intrinsically expressed by the product owner during requirements education tasks. While their visualization and identification are complex, word processing and sentiment analysis techniques can be applied to extract useful and valuable information for the development team. For that reason, this paper proposes a methodology to analyze the affective dimension of user stories, considering the feelings and emotions that affect the communication process amongteam members and identify how these factors impact the software development process, specifically in activities related to the definition and specification of requirements.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/135042
url http://sedici.unlp.edu.ar/handle/10915/135042
dc.language.none.fl_str_mv spa
language spa
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info:eu-repo/semantics/altIdentifier/issn/1514-6774
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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