Automatic Detection of Usability Smells in Web Applications

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...

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Detalles Bibliográficos
Autores principales: Grigera, Julián, Garrido, Alejandra, Rivero, José Matías, Rossi, Gustavo Héctor
Formato: Articulo
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Informáticas
Usability testing
Web-based interaction
Refactoring
Log analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/119036
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-119036
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Usability testing
Web-based interaction
Refactoring
Log analysis
spellingShingle Ciencias Informáticas
Usability testing
Web-based interaction
Refactoring
Log analysis
Grigera, Julián
Garrido, Alejandra
Rivero, José Matías
Rossi, Gustavo Héctor
Automatic Detection of Usability Smells in Web Applications
topic_facet Ciencias Informáticas
Usability testing
Web-based interaction
Refactoring
Log analysis
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 iden tified 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.
format Articulo
Articulo
author Grigera, Julián
Garrido, Alejandra
Rivero, José Matías
Rossi, Gustavo Héctor
author_facet Grigera, Julián
Garrido, Alejandra
Rivero, José Matías
Rossi, Gustavo Héctor
author_sort Grigera, Julián
title Automatic Detection of Usability Smells in Web Applications
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
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/119036
work_keys_str_mv AT grigerajulian automaticdetectionofusabilitysmellsinwebapplications
AT garridoalejandra automaticdetectionofusabilitysmellsinwebapplications
AT riverojosematias automaticdetectionofusabilitysmellsinwebapplications
AT rossigustavohector automaticdetectionofusabilitysmellsinwebapplications
bdutipo_str Repositorios
_version_ 1764820447848824835

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