Our paper entitled “App Store 2.0: From Crowd Information to Actionable Feedback in Mobile Ecosystems” coauthored with Xavier Blanc from University of Bordeaux has been accepted for publication to the upcoming edition of the international conference on Automated Software Engineering (ASE).

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.

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.

More details: https://hal.inria.fr/hal-01406422