Observatorio de I+D+i UPM

Memorias de investigación
Conferencias:
A Cognitive Agent for Mining Bugs Reports, Feature Suggestions and Sentiment in a Mobile Application Store
Año:2018
Áreas de investigación
  • Ingenierías
Datos
Descripción
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.
Internacional
Si
ISSN o ISBN
978-1-5386-7793-3
Entidad relacionada
Nacionalidad Entidad
Sin nacionalidad
Lugar del congreso
Barcelona
Esta actividad pertenece a memorias de investigación
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
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