Mobile applications (apps) often suffer from failure nowadays . Developers pay more attention to the failure that is perceived by users andcompromises the user experience . By leveraging the frontend user traces, our approach first builds an app page model, and applies an unsupervised detection algorithm to detect whether a user has perceived failure . Our insight behind the algorithm is that when user-perceived failureoccurs on a page, the users will backtrack and revisit the certain page toretry . Preliminary evaluation results show that our approach can achieve gooddetection performance on a dataset collected from real world users. Preliminary evaluations results show . Our approach can . achieve good detection performance on

Author(s) : Deyu Tian

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Keywords : user - perceived - failure - page - users -

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