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Issue No. 02 - Mar./Apr. (2017 vol. 34)
ISSN: 0740-7459
pp: 81-89
Maria Gomez , Inria Lille
Bram Adams , Polytechnique Montréal
Walid Maalej , University of Hamburg
Martin Monperrus , University of Lille
Romain Rouvoy , University of Lille
ABSTRACT
Given the increasing competition in mobile-app ecosystems, improving the user experience has become a major goal for app vendors. App Store 2.0 will exploit crowdsourced information about apps, devices, and users to increase the overall quality of the delivered mobile apps. App Store 2.0 generates different kinds of actionable feedback from the crowd information. This feedback helps developers deal with potential errors that could affect their apps before publication or even when the apps are in the users' hands. The App Store 2.0 vision has been transformed into a concrete implementation for Android devices. This article is part of a special issue on Crowdsourcing for Software Engineering. Correction: In the fifth line of the second column on p. 83, "see sia" should be "see Figure 2a.
INDEX TERMS
Computer crashes, Monitoring, Context, Mobile communication, Google, Performance evaluation, Androids
CITATION

M. Gomez, B. Adams, W. Maalej, M. Monperrus and R. Rouvoy, "App Store 2.0: From Crowdsourced Information to Actionable Feedback in Mobile Ecosystems," in IEEE Software, vol. 34, no. 2, pp. 81-89, 2017.
doi:10.1109/MS.2017.46
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