Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: Systems, methods, and apparatus are disclosed for generating and processing natural language requests. A request processing system processes a received natural language request to identify an intent of the natural language request and a confidence level of the identified intent. In response to the confidence level of the identified intent not satisfying a threshold level, the request processing system sends the natural language request to the fulfillment computing device for further processing by a person associated with the fulfillment computing device. In response to the confidence level satisfying the threshold level, the request processing system proceeds with fulfilling the request per the identified intent.

Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: Systems, methods, and apparatus are disclosed for generating and processing natural language requests. A request processing system processes a received natural language request to identify an intent of the natural language request and a confidence level of the identified intent. In response to the confidence level of the identified intent not satisfying a threshold level, the request processing system sends the natural language request to the fulfillment computing device for further processing by a person associated with the fulfillment computing device. In response to the confidence level satisfying the threshold level, the request processing system proceeds with fulfilling the request per the identified intent.