An interactive contact workflow system provides a graphical representation of a contact workflow in a graphical user interface (GUI) of an interactive contact run-time environment. The interactive contact workflow system receives a request to load response data for a previously recorded interaction with the contact workflow, retrieves the response data from a data store of stored response data, and receives a request to execute a first instruction block of the contact workflow within the interactive contact run-time environment. The interactive contact workflow system then executes the first instruction block by providing the first audio prompt of the first instruction block to an audio output interface of the client device, and provides a response from the response data to the first instruction block as a response to the first audio prompt.

An interactive contact workflow system provides a graphical representation of a contact workflow in a graphical user interface (GUI) of an interactive contact run-time environment. The interactive contact workflow system receives a request to execute a first instruction block of the contact workflow within the interactive contact run-time environment, generates a communication interface to facilitate simulated electronic communication between the GUI and the interactive contact run-time environment, and provides a first visual indicator for display within the GUI that graphically highlights the first instruction block within the GUI to indicate that the first instruction block is active. The interactive contact workflow system then executes the first instruction block by sending a first prompt of the first instruction block to the communication interface to cause the communication interface to provide the first prompt to an audio output interface.

A method includes receiving, from a mobile device, a request in a telecommunications system to invoke operations from an automation platform executed by processing circuitry to perform one or more of: executing, by the processing circuitry, one or more existing simulated failure experiments for the telecommunications system; determining, by the processing circuitry, whether a simulated failure blueprint is configured for specific simulated failure cases exist on the automation platform; determining, by the processing circuitry, whether a simulated failure template is configured to accept a targeted telecommunications domain and failure parameters exist on the automation platform; or instructing the mobile device to display recommended simulated failure experiments with selectable telecommunications domains and selectable failure parameters.

In some implementations, a device may provide a software log to a convolutional neural network (CNN) associated with software log classification, wherein the CNN is associated with an embedding layer that is initialized with character embeddings extracted from a sequence-to-sequence model, and the CNN is associated with a block of one-dimensional convolutional layers that follows the character embeddings. The device may generate a software log classification using the CNN, wherein the software log classification indicates whether the software log is associated with an issue and a telecommunications protocol stack in which the issue or a defect has occurred.