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
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/10897

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repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling 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
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info:eu-repo/semantics/acceptedVersion
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info:ar-repo/semantics/articulo
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status_str acceptedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/10897
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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
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http://creativecommons.org/licenses/by-nc-nd/4.0/
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