App Store 2.0: From Crowd Information to Actionable Feedback in Mobile Ecosystems

Abstract : Given the increasing competition in mobile app ecosystems, improving the experience of users has become a major goal for app vendors. This article introduces a visionary app store, called APP STORE 2.0, which exploits crowdsourced information about apps, devices and users to increase the overall quality of the delivered mobile apps. We sketch a blueprint architecture of the envisioned app stores and discuss the different kinds of actionable feedbacks that app stores can generate using crowdsourced information.
Type de document :
Article dans une revue
IEEE Software, Institute of Electrical and Electronics Engineers, 2017, IEEE Software - Theme Issue on Crowdsourcing for Software Engineering, 34, pp.81-89. 〈https://www.computer.org/software-magazine〉. 〈10.1109/MS.2017.46〉
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01406422
Contributeur : Romain Rouvoy <>
Soumis le : samedi 14 janvier 2017 - 09:15:28
Dernière modification le : mercredi 25 avril 2018 - 15:43:48
Document(s) archivé(s) le : samedi 15 avril 2017 - 12:08:17

Fichier

gomez-ieee-software.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

María Gómez, Bram Adams, Walid Maalej, Martin Monperrus, Romain Rouvoy. App Store 2.0: From Crowd Information to Actionable Feedback in Mobile Ecosystems. IEEE Software, Institute of Electrical and Electronics Engineers, 2017, IEEE Software - Theme Issue on Crowdsourcing for Software Engineering, 34, pp.81-89. 〈https://www.computer.org/software-magazine〉. 〈10.1109/MS.2017.46〉. 〈hal-01406422〉

Partager

Métriques

Consultations de la notice

566

Téléchargements de fichiers

440