Conferencias:
A Cognitive Agent for Mining Bugs Reports, Feature Suggestions and Sentiment in a Mobile Application Store
A Cognitive Agent for Mining Bugs Reports, Feature Suggestions and Sentiment in a Mobile Application Store
Año:2018
Áreas de investigación
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Ingenierías
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Descripción
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| Over the last years, mobile applications and their corresponding distribution platforms have gained momentum. Applications stores allow users to write reviews and ratings about the apps, giving feedback to developers. User ratings and reviews may help to improve software quality, solve bugs and develop new features. However, this data is hard to be handled by an individual due to the ever growing amount of textual reviews. This paper proposes the use of cognitive computing technologies for addressing this challenge, by developing a smart agent able to mine bugs reports, feature suggestions and sentiment expressed in mobile app reviews. The main contributions of this paper are: the design of a cognitive agent for assisting developers in managing their interaction with their users, the application of machine learning algorithms for bug and feature request detection, and the agent implementation in a real scenario. | |
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Internacional
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Si |
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ISSN o ISBN
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978-1-5386-7793-3 |
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Entidad relacionada
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Nacionalidad Entidad
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Sin nacionalidad |
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Lugar del congreso
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Barcelona |
Ver publicación en Archivo digital upm
Participantes
- Autor: Sergio Muñoz Lopez (UPM)
- Autor: Oscar Araque Iborra (UPM)
- Autor: ANTONIO FERNÁNDEZ LLAMAS
- Autor: Carlos Angel Iglesias Fernandez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
- Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
- Departamento: Ingeniería de Sistemas Telemáticos
S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)