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dc.date.accessioned 2021-05-20T14:51:09Z
dc.date.available 2021-05-20T14:51:09Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/119090
dc.description.abstract While Web applications have become pervasive in today’s business, social interaction and information exchange, their usability is often deficient, even being a key factor for a website success. Usability problems repeat across websites, and many of them have been catalogued, but usability evaluation and repair still remains expensive. There are efforts from both the academy and industry to automate usability testing or to provide automatic statistics, but they rarely offer concrete solutions.These solutions appear as guidelines or patterns that developers can follow manually. This paper presents Kobold, a tool that detects usability problems from real user interaction (UI) events and repairs them automatically when possible, at least suggesting concrete solutions. By using the refactoring technique and its associated concept of bad smell, Kobold mines UI events to detect usability smells and applies usability refactorings on the client to correct them. The purpose of Kobold is to deliver usability advice and solutions as a service (SaaS) for developers, allowing them to respond to feedback of the real use of their applications and improve usability incrementally, even when there are no usability experts on the team. Kobold is available at: http://autorefactoring.lifia.info.unlp.edu.ar. A screencast is available at https://youtu.be/c-myYPMUh0Q en
dc.language en es
dc.subject Web Usability es
dc.subject Software as a Service es
dc.subject Usability Refactoring es
dc.title Kobold: web usability as a service en
dc.type Objeto de conferencia es
sedici.identifier.uri https://ieeexplore.ieee.org/document/8115717 es
sedici.identifier.other https://digital.cic.gba.gob.ar/handle/11746/10935 es
sedici.identifier.isbn 978-1-5386-2684-9 es
sedici.creator.person Grigera, Julián es
sedici.creator.person Garrido, Alejandra es
sedici.creator.person Rossi, Gustavo Héctor es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Laboratorio de Investigación y Formación en Informática Avanzada es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
sedici.date.exposure 2017
sedici.relation.event 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) (USA, 2017) es


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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)