Abstract: Methods and apparatuses are described for enhancing chatbot recognition of user intent through graph analysis. A computing device classifies user messages associated with a chat session as either comprehensible user messages that are mapped to a user intent or incomprehensible utterances that are not mapped to a user intent. The computing device arranges the comprehensible messages into first clusters and arranges the incomprehensible messages into second clusters. The computing device generates a first sub-graph for each first cluster and generates a second sub-graph for each second cluster. The computing device calculates a graph kernel matrix using the sub-graphs and trains a classification model using the graph kernel matrix. The computing device executes the trained classification model using the graph kernel matrix as input to generate a predicted intent identifier for the incomprehensible messages.

Abstract: A computerized method of testing a mobile application stored on a mobile test device includes executing, by a computing device, a test script stored in memory of the computing device; running, by the computing device, according to the test script, a human behavior simulation module; retrieving, by the computing device, an event list stored in a server, the event list including one or more electronic human behavior simulations; receiving, by the computing device an electronic human behavior simulation from the event list; providing, by the computing device, selected data of the electronic human behavior simulation to memory of the server for recordation; executing, by the computing device, the electronic human behavior simulation on a mobile test device in electronic communication with the computing device; and executing, by the computing device, according to the test script, a test case stored in memory of the computing device on the mobile test device.

Abstract: A computerized method of testing a mobile application stored on a mobile test device includes executing, by a computing device, a test script stored in memory of the computing device; running, by the computing device, according to the test script, a human behavior simulation module; retrieving, by the computing device, an event list stored in a server, the event list including one or more electronic human behavior simulations; receiving, by the computing device an electronic human behavior simulation from the event list; providing, by the computing device, selected data of the electronic human behavior simulation to memory of the server for recordation; executing, by the computing device, the electronic human behavior simulation on a mobile test device in electronic communication with the computing device; and executing, by the computing device, according to the test script, a test case stored in memory of the computing device on the mobile test device.