Quality of experience in mobile applications: A systematic mapping of metrics and tools

Autores
Collazo Garcia, Antonio; Casas, Sandra
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Context: Quality of Experience (QoE) enables the description of user perceptions about the performance of a particular application or service. In the mobile computing context, it is an important measure for service providers and users, since QoE makes it possible to improve it and make it more competitive to achieve user fidelity. In turn, the importance of QoE in mobile technologies increases due to the various factors that affect the applications that run on mobile devices. Objective: The purpose of this study is to identify the metrics and tools relevant to the scientific community for the QoE analysis of mobile applications. Method: A systematic mapping study was conducted. Results: From a total of 751 studies, 33 were selected, and 13 metrics and 15 mobile QoE analysis tools were identified. Conclusions: The existing mobile QoE analysis tools collect and calculate metrics automatically, combining objective and subjective metrics. However, they present limited approaches, making it difficult to carry out an integral analysis of the applications.
Fil: Collazo Garcia, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina
Fil: Casas, Sandra. Universidad Nacional de la Patagonia Austral; Argentina
Materia
QUALITY OF EXPERIENCE
MOBILE APPLICATIONS
SYSTEMATIC MAPPING
METRICS AND TOOLS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/168955
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Quality of experience in mobile applications: A systematic mapping of metrics and toolsCollazo Garcia, AntonioCasas, SandraQUALITY OF EXPERIENCEMOBILE APPLICATIONSSYSTEMATIC MAPPINGMETRICS AND TOOLShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Context: Quality of Experience (QoE) enables the description of user perceptions about the performance of a particular application or service. In the mobile computing context, it is an important measure for service providers and users, since QoE makes it possible to improve it and make it more competitive to achieve user fidelity. In turn, the importance of QoE in mobile technologies increases due to the various factors that affect the applications that run on mobile devices. Objective: The purpose of this study is to identify the metrics and tools relevant to the scientific community for the QoE analysis of mobile applications. Method: A systematic mapping study was conducted. Results: From a total of 751 studies, 33 were selected, and 13 metrics and 15 mobile QoE analysis tools were identified. Conclusions: The existing mobile QoE analysis tools collect and calculate metrics automatically, combining objective and subjective metrics. However, they present limited approaches, making it difficult to carry out an integral analysis of the applications.Fil: Collazo Garcia, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; ArgentinaFil: Casas, Sandra. Universidad Nacional de la Patagonia Austral; ArgentinaInternational Association of Online Engineering2020-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/168955Collazo Garcia, Antonio; Casas, Sandra; Quality of experience in mobile applications: A systematic mapping of metrics and tools; International Association of Online Engineering; International Journal of Interactive Mobile Technologies; 14; 08; 5-2020; 126-1381865-7923CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://online-journals.org/index.php/i-jim/article/view/12819info:eu-repo/semantics/altIdentifier/doi/10.3991/ijim.v14i08.12819info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:18:33Zoai:ri.conicet.gov.ar:11336/168955instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:18:33.444CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Quality of experience in mobile applications: A systematic mapping of metrics and tools
title Quality of experience in mobile applications: A systematic mapping of metrics and tools
spellingShingle Quality of experience in mobile applications: A systematic mapping of metrics and tools
Collazo Garcia, Antonio
QUALITY OF EXPERIENCE
MOBILE APPLICATIONS
SYSTEMATIC MAPPING
METRICS AND TOOLS
title_short Quality of experience in mobile applications: A systematic mapping of metrics and tools
title_full Quality of experience in mobile applications: A systematic mapping of metrics and tools
title_fullStr Quality of experience in mobile applications: A systematic mapping of metrics and tools
title_full_unstemmed Quality of experience in mobile applications: A systematic mapping of metrics and tools
title_sort Quality of experience in mobile applications: A systematic mapping of metrics and tools
dc.creator.none.fl_str_mv Collazo Garcia, Antonio
Casas, Sandra
author Collazo Garcia, Antonio
author_facet Collazo Garcia, Antonio
Casas, Sandra
author_role author
author2 Casas, Sandra
author2_role author
dc.subject.none.fl_str_mv QUALITY OF EXPERIENCE
MOBILE APPLICATIONS
SYSTEMATIC MAPPING
METRICS AND TOOLS
topic QUALITY OF EXPERIENCE
MOBILE APPLICATIONS
SYSTEMATIC MAPPING
METRICS AND TOOLS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Context: Quality of Experience (QoE) enables the description of user perceptions about the performance of a particular application or service. In the mobile computing context, it is an important measure for service providers and users, since QoE makes it possible to improve it and make it more competitive to achieve user fidelity. In turn, the importance of QoE in mobile technologies increases due to the various factors that affect the applications that run on mobile devices. Objective: The purpose of this study is to identify the metrics and tools relevant to the scientific community for the QoE analysis of mobile applications. Method: A systematic mapping study was conducted. Results: From a total of 751 studies, 33 were selected, and 13 metrics and 15 mobile QoE analysis tools were identified. Conclusions: The existing mobile QoE analysis tools collect and calculate metrics automatically, combining objective and subjective metrics. However, they present limited approaches, making it difficult to carry out an integral analysis of the applications.
Fil: Collazo Garcia, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina
Fil: Casas, Sandra. Universidad Nacional de la Patagonia Austral; Argentina
description Context: Quality of Experience (QoE) enables the description of user perceptions about the performance of a particular application or service. In the mobile computing context, it is an important measure for service providers and users, since QoE makes it possible to improve it and make it more competitive to achieve user fidelity. In turn, the importance of QoE in mobile technologies increases due to the various factors that affect the applications that run on mobile devices. Objective: The purpose of this study is to identify the metrics and tools relevant to the scientific community for the QoE analysis of mobile applications. Method: A systematic mapping study was conducted. Results: From a total of 751 studies, 33 were selected, and 13 metrics and 15 mobile QoE analysis tools were identified. Conclusions: The existing mobile QoE analysis tools collect and calculate metrics automatically, combining objective and subjective metrics. However, they present limited approaches, making it difficult to carry out an integral analysis of the applications.
publishDate 2020
dc.date.none.fl_str_mv 2020-05
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/11336/168955
Collazo Garcia, Antonio; Casas, Sandra; Quality of experience in mobile applications: A systematic mapping of metrics and tools; International Association of Online Engineering; International Journal of Interactive Mobile Technologies; 14; 08; 5-2020; 126-138
1865-7923
CONICET Digital
CONICET
url http://hdl.handle.net/11336/168955
identifier_str_mv Collazo Garcia, Antonio; Casas, Sandra; Quality of experience in mobile applications: A systematic mapping of metrics and tools; International Association of Online Engineering; International Journal of Interactive Mobile Technologies; 14; 08; 5-2020; 126-138
1865-7923
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://online-journals.org/index.php/i-jim/article/view/12819
info:eu-repo/semantics/altIdentifier/doi/10.3991/ijim.v14i08.12819
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv International Association of Online Engineering
publisher.none.fl_str_mv International Association of Online Engineering
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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