Automatic detection of usability smells in web applications
- Autores
- Grigera, Julián; Garrido, Alejandra; Rivero, José Matías; Rossi, Gustavo Héctor
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- Usability assessment of web applications continues to be an expensive and often neglected practice. While large companies are able to spare resources for studying and improving usability in their products, smaller businesses often divert theirs in other aspects. To help these cases, researches have devised automatic approaches for user interaction analysis, and there are commercial services that offer automated usability statistics at relatively low fees. However, most existing approaches still fall short in specifying the usability problems concretely enough to identify and suggest solutions. In this work we describe usability smells of user interaction, i.e., hints of usability problems on running web applications, and the process in which they can be identified by analyzing user interaction events. We also describe USF, the tool that implements the process in a fully automated way with minimum setup effort. USF analyses user interaction events on-the-fly, discovers usability smells and reports them together with a concrete solution in terms of a usability refactoring, providing usability advice for deployed web applications.
- Materia
-
Ciencias de la Computación
Usability testing
Web-based interaction
Refactoring
Log analysis - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-nd/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/10897
Ver los metadatos del registro completo
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Automatic detection of usability smells in web applicationsGrigera, JuliánGarrido, AlejandraRivero, José MatíasRossi, Gustavo HéctorCiencias de la ComputaciónUsability testingWeb-based interactionRefactoringLog analysisUsability assessment of web applications continues to be an expensive and often neglected practice. While large companies are able to spare resources for studying and improving usability in their products, smaller businesses often divert theirs in other aspects. To help these cases, researches have devised automatic approaches for user interaction analysis, and there are commercial services that offer automated usability statistics at relatively low fees. However, most existing approaches still fall short in specifying the usability problems concretely enough to identify and suggest solutions. In this work we describe usability smells of user interaction, i.e., hints of usability problems on running web applications, and the process in which they can be identified by analyzing user interaction events. We also describe USF, the tool that implements the process in a fully automated way with minimum setup effort. USF analyses user interaction events on-the-fly, discovers usability smells and reports them together with a concrete solution in terms of a usability refactoring, providing usability advice for deployed web applications.2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10897enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhcs.2016.09.009info:eu-repo/semantics/altIdentifier/issn/1071-5819info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-04T09:42:58Zoai:digital.cic.gba.gob.ar:11746/10897Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-04 09:42:58.413CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
dc.title.none.fl_str_mv |
Automatic detection of usability smells in web applications |
title |
Automatic detection of usability smells in web applications |
spellingShingle |
Automatic detection of usability smells in web applications Grigera, Julián Ciencias de la Computación Usability testing Web-based interaction Refactoring Log analysis |
title_short |
Automatic detection of usability smells in web applications |
title_full |
Automatic detection of usability smells in web applications |
title_fullStr |
Automatic detection of usability smells in web applications |
title_full_unstemmed |
Automatic detection of usability smells in web applications |
title_sort |
Automatic detection of usability smells in web applications |
dc.creator.none.fl_str_mv |
Grigera, Julián Garrido, Alejandra Rivero, José Matías Rossi, Gustavo Héctor |
author |
Grigera, Julián |
author_facet |
Grigera, Julián Garrido, Alejandra Rivero, José Matías Rossi, Gustavo Héctor |
author_role |
author |
author2 |
Garrido, Alejandra Rivero, José Matías Rossi, Gustavo Héctor |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias de la Computación Usability testing Web-based interaction Refactoring Log analysis |
topic |
Ciencias de la Computación Usability testing Web-based interaction Refactoring Log analysis |
dc.description.none.fl_txt_mv |
Usability assessment of web applications continues to be an expensive and often neglected practice. While large companies are able to spare resources for studying and improving usability in their products, smaller businesses often divert theirs in other aspects. To help these cases, researches have devised automatic approaches for user interaction analysis, and there are commercial services that offer automated usability statistics at relatively low fees. However, most existing approaches still fall short in specifying the usability problems concretely enough to identify and suggest solutions. In this work we describe usability smells of user interaction, i.e., hints of usability problems on running web applications, and the process in which they can be identified by analyzing user interaction events. We also describe USF, the tool that implements the process in a fully automated way with minimum setup effort. USF analyses user interaction events on-the-fly, discovers usability smells and reports them together with a concrete solution in terms of a usability refactoring, providing usability advice for deployed web applications. |
description |
Usability assessment of web applications continues to be an expensive and often neglected practice. While large companies are able to spare resources for studying and improving usability in their products, smaller businesses often divert theirs in other aspects. To help these cases, researches have devised automatic approaches for user interaction analysis, and there are commercial services that offer automated usability statistics at relatively low fees. However, most existing approaches still fall short in specifying the usability problems concretely enough to identify and suggest solutions. In this work we describe usability smells of user interaction, i.e., hints of usability problems on running web applications, and the process in which they can be identified by analyzing user interaction events. We also describe USF, the tool that implements the process in a fully automated way with minimum setup effort. USF analyses user interaction events on-the-fly, discovers usability smells and reports them together with a concrete solution in terms of a usability refactoring, providing usability advice for deployed web applications. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
acceptedVersion |
dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/10897 |
url |
https://digital.cic.gba.gob.ar/handle/11746/10897 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhcs.2016.09.009 info:eu-repo/semantics/altIdentifier/issn/1071-5819 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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application/pdf |
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CIC Digital (CICBA) |
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CIC Digital (CICBA) |
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Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
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CICBA |
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CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
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12.623145 |