Amazon Technologies, Inc.

Zahur A Peracha

Calvin Y Kuo

Jason Makuch

Michael T Callahan

Mekka Chibuisi Okereke

Mitchell Kim

Disclosed are various embodiments for automatically testing and verifying applications. A user input profile is generated for an application by performing a static analysis on the application. Simulated user input for the application is generated based at least in part on the user input profile. Execution of the application is initiated in a computing device. The simulated user input is provided to the application executed in the computing device. It is verified whether the application meets performance criteria in the computing device.

Automated mobile application verification

Disclosed are various embodiments for an error troubleshooting application. Error data is obtained from a client device. A correlated knowledge base is referenced to determine if a solution is associated with the error data. If a solution is associated with the error data, a notification embodying the solution is communicated to the client device. If a solution is not associated with the error data, a notification indicating the solution is unknown is communicated to the client device.

Error troubleshooting using a correlated knowledge base

Disclosed are various embodiments for a state monitoring application. A state monitoring application initiates the execution of test operations on a client device. States of the client device are monitored to determine when the client device is at risk of entering an unresponsive state. When the client device is at risk, the state monitoring application initiates the execution of remedy operations to prevent the client device from becoming unresponsive.

Constructing state-transition functions for mobile devices

Disclosed are various embodiments for automatically testing and verifying mobile applications. A mobile application is obtained from a source entity. The mobile application is automatically installed in different mobile computing devices in a testing environment. Execution of the mobile application is automatically initiated in the different mobile computing devices. Whether the mobile application meets performance criteria is automatically verified for each of the different mobile computing devices.

Disclosed are various embodiments for identifying user interface improvements from observed user behavior. A use case description is obtained from a developer of an application. Usability metrics are collected that observe interaction of a plurality of users with a user interface of the application. The usability metrics are analyzed in conjunction with the use case description to identify at least one aspect of the user interface for improvement. The aspect includes a page or an actionable element. Information is provided to the developer about the at least one aspect of the user interface identified for improvement.

Identifying user interface improvements from observed user behavior

Disclosed are various embodiments for the contextual indexing of applications using an application analyzer. In one embodiment, the application analyzer identifies at least one used element present in an application. The application analyzer computes a weight for the at least one used element, then provides the at least one used element and the respective weight to a contextual index service.

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Irvine, CA, United States of America

Zahur A Peracha