Amazon Technologies, Inc.

Sridhar Chellappa

Pavan Kumar Surishetty

James Newton Adkins, Iii

Lokendra Singh

Mitchell Kim

Dave Mohla

Jacek Stolcman

Devesh Khare

Ashok Thangamani Nadar

Kamlesh Tekhbahadur Talreja

Mihir Devraj Bhanot

Vinod Kannan

The effect on battery capacity of an application can be tested on computing devices. A server controller can instruct the computing devices to install applications and simulate user interactions with the applications. The controller can store indications of battery usage during the time that the simulated user interactions with the application are performed on the computing device. When battery capacity of the computing device is below a lower threshold, the controller can connect the computing device to a power supply. When the battery capacity of the computing device is again above an upper threshold, the controller can disconnect the computing device from the power supply and being testing a new application on the computing device.

Testing battery usage by applications

An application can be tested to determine whether declared resources for the application are deemed to be required for the application. Instructions can be sent to an operating system to launch the application, to simulate user interactions with the application, and to generate a log of resource requests by the application during launch of the application and during the simulated user interactions with the application. For each of the declared resources, a determination can be made whether a sufficient number of resource requests for the resource is in the log. If there are enough instances of resource requests for the resource in the log, the resource can be included in a list of actual resources for the application.

Determining a set of application resources

Disclosed are various embodiments for enhancing automated testing for mobile applications by using an automated testing set. An automated testing pattern set may include multiple patterns that have been determined to yield accurate results in testing applications within a particular application category. The automated testing pattern set may be created for each application category by applying automated random pattern generator tests to applications within the same application category and verifying the accuracy of the random patterns produced by the random pattern generator tests by comparing the results from manual testing. The automated testing pattern set is then created based on patterns ranked according to an assigned accuracy score.

Enhancing automated mobile application testing

Systems and associated processes are disclosed for generating recommendations for users based on the computing device likely to be utilized by the user to execute an application, among other things. These systems and processes are described in the context of an interactive computing system that enables users to download applications for mobile devices or for other computing devices. The performance of applications running on the user's computing device can be monitored with the performance data being collected and provided to the interactive computing system. The interactive computing system can include a recommendation system or service that processes the performance data and using the performance data, among possibly other data, the recommendation system can recommend alternative applications to the user for download. Further, in some cases, the interactive computing system can recommend modifications to the user's computing device to improve the performance of the application running on the user's computing device.

Performance based recommendations

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Karnataka, India

Sridhar Chellappa