Abstract: In one implementation, a system for user action duration includes a monitor engine to monitor a number of async operations to be loaded on a user interface, a detection engine to determine a repeating async operation from the number of async operations that has a pattern of repeating timeouts, a removal engine to remove the repeating async operation from the number of async operations, and a calculation engine to calculate a total time for the remaining number of async operations based on a total timeout of each of the remaining number of async operations.

Abstract: In one example of the disclosure, a subject message for a display caused by a subject software application is obtained. A prediction model is utilized to identify the subject message as a first type message or a second type message. The model is a model determined based upon a set of target words determined by imposition of a set of rules upon a set of user facing messages extracted from a set of software applications, wherein each of the extracted messages was classified post-extraction as a first type message or a second type message. A communication identifying the subject message as the first type message or the second type message is provided.

Abstract: In one implementation, a system for user action duration includes a monitor engine to monitor a number of async operations to be loaded on a user interface, a detection engine to determine a repeating async operation from the number of async operations that has a pattern of repeating timeouts, a removal engine to remove the repeating async operation from the number of async operations, and a calculation engine to calculate a total time for the remaining number of async operations based on a total timeout of each of the remaining number of async operations.