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Artículo

Automatic detection of usability smells in web applications

Grigera, JuliánIcon ; Garrido, AlejandraIcon ; Rivero, José MatíasIcon ; Rossi, Gustavo HéctorIcon
Fecha de publicación: 01/2017
Editorial: Academic Press Ltd - Elsevier Science Ltd
Revista: International Journal Of Human-computer Studies
ISSN: 1071-5819
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias de la Computación

Resumen

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.
Palabras clave: USABILITY TESTING , WEB-BASED INTERACTION , REFACTORING , LOG ANALYSIS
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Atribución-NoComercial-SinDerivadas 2.5 Argentina (CC BY-NC-ND 2.5 AR)
Identificadores
URI: http://hdl.handle.net/11336/101492
URL: http://www.sciencedirect.com/science/article/pii/S1071581916301215
DOI: http://dx.doi.org/10.1016/j.ijhcs.2016.09.009
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Articulos(CCT - LA PLATA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - LA PLATA
Citación
Grigera, Julián; Garrido, Alejandra; Rivero, José Matías; Rossi, Gustavo Héctor; Automatic detection of usability smells in web applications; Academic Press Ltd - Elsevier Science Ltd; International Journal Of Human-computer Studies; 97; 1-2017; 129-148
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