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Intelligent device selection for mobile application testing

  • US 10,248,546 B2
  • Filed: 12/15/2017
  • Issued: 04/02/2019
  • Est. Priority Date: 01/17/2017
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • determining features of a new mobile application to be tested;

    comparing, by a processor, the features of the new mobile application to be tested with features of multiple known mobile applications to identify one or more known mobile applications with similar features; and

    based at least in part on automated analysis of user reviews of the one or more known mobile applications operating in one or more types of mobile devices, providing, by the processor, one or more risk scores for operation of the new mobile application in the one or more types of mobile devices, wherein providing the one or more risk scores comprises generating a respective risk score for operating the new mobile application in each type of mobile device of the one or more types of mobile devices, the respective risk scores being determined based, at least in part, on automated analysis of user reviews of the one or more known mobile applications with similar features operating on that type of mobile device, and wherein the one or more risk scores are each determined based on one or more factors selected from a group consisting of;

    a degree of feature similarity between the new mobile application and the known mobile application with similar features, a number of defect instances reported for the known mobile application on the type of mobile device, a sentiment of user reviews of the known mobile device application on the type of mobile device, and a number of like or dislike reviews of the known mobile application on the type of mobile device.

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