App Store 2.0: From Crowdsourced Information to Actionable Feedback in Mobile Ecosystems - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles IEEE Software Year : 2017

App Store 2.0: From Crowdsourced 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.
Fichier principal
Vignette du fichier
gomez-ieee-software.pdf (270.64 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01406422 , version 1 (14-01-2017)

Identifiers

Cite

María Gómez, Bram Adams, Walid Maalej, Martin Monperrus, Romain Rouvoy. App Store 2.0: From Crowdsourced Information to Actionable Feedback in Mobile Ecosystems. IEEE Software, 2017, IEEE Software - Theme Issue on Crowdsourcing for Software Engineering, 34, pp.81-89. ⟨10.1109/MS.2017.46⟩. ⟨hal-01406422⟩
491 View
1945 Download

Altmetric

Share

Gmail Facebook X LinkedIn More