Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Various embodiments comprise systems and methods to indicate when errors occur in a data pipeline. In some examples, data monitoring circuitry monitors the operations of a data pipeline. The data monitoring circuitry ingests an output data set generated by the pipeline, compares the output data set to an expected output, identifies differences between the output data set and the expected output, and determines when the magnitude of the difference exceeds an error threshold. When the error threshold is exceeded, the data monitoring circuitry generates a graphical representation of the output data set, a graphical representation of the expected pipeline output, and an animated transition from the graphical representation of the expected pipeline output to the graphical representation of the output data. The data pipeline monitoring circuitry transfers an alert that comprises the graphical representation of the expected pipeline output, the graphical representation of the output data, and the animated transition.

Novel tools and techniques are provided for implementing error detection in a network, and, more particularly, to methods, systems, and apparatuses for implementing error and/or fault detection in a network and/or media stream and providing options to address the error and/or fault in the network and/or media stream. In various embodiments, a computer might detect an error in a first network and send a notification indicating that the error has occurred. The notification might contain one or more options to address the error in the first network. The computer, a user device, a service provider device, or a content provider device might receive and display the notification containing the one or more options. The computer, the user device, the service provider device, or the content provider device might then select at least one of the one or more options to address the error in the first network.

The present disclosure involves systems, software, and computer implemented methods for automated message processing. Information associated with a failure message generated in response to process integration failure between two computer-implemented applications is received. The two computer-implemented applications include a sender application and a receiver application. The information includes a sender application/receiver application interface and details that caused the failure. Using the received information, multiple failure message similar to the failure message are identified. The identified messages were generated in response to the same process integration failure between the two computer-implemented applications. For either the sender or the receiver application, a resolution class operation executable to rectify the process integration failure is identified. The resolution class operation is simultaneously executed for all of the multiple failure messages.

Various methods and systems for tracking incomplete purchases in correlation with application performance, such as application errors or crashes, are provided. In this regard, aspects of the invention facilitate monitoring transaction and application error events and analyzing data associated therewith to identify data indicating an impact of incomplete purchases in relation to an error(s) such that application performance can be improved. In various implementations, application data associated with an application installed on a mobile device is received. The application data is used to determine that an error that occurred in association with the application installed on the mobile device correlates with an incomplete monetary transaction initiated via the application. Based on the error correlating with the incomplete monetary transaction, a transaction attribute associated with the error is determined.

Provided are systems and methods for generating alerts in a computing environment. An example method may commence with receiving parameters associated with an alert. The parameters may include at least an alert condition and an action to be performed based on the alert condition. The method may further include monitoring at least a portion of a network data according to a predetermined schedule based on the parameters. The method may further include generating the alert upon detection of the alert condition.

An application framework that provides field configuration of exception handlers by one or more applications, rather than defining exceptions at runtime. The exception handler may operate as a remote service in communication with an application executing locally. When an exception is received, the exception handler can consume the exception and return a defined object based on the exception type.

An operator terminal 2 accesses a web server 1 via a network NW, and acquires error information on an error that has occurred in the access to the web server 1. And then, the operator terminal 2 determines whether or not the occurred error is an error of a specific type on a basis of the error information, and re-accesses the web server 1 in response to the determination that the occurred error is the error of the specific type.

An image forming apparatus includes a wireless tag communication device to write data to, and read data from, a wireless tag attached to a sheet. An image forming device in the apparatus is configured to form an image on the sheet. A controller in the apparatus is configured to determine whether a writing of data to a wireless tag was successful based on a notification from the wireless tag communication device and generate investigation support information if the writing was not successful and control the image forming device to form an investigation support image corresponding to the investigation support information if the writing was not successful.

An abnormal state detection device includes: an acquisition unit that acquires an image imaging a device that outputs an abnormal state using an LED; an analysis unit that analyzes the abnormal state of the device based on the light emission pattern of the LED in the image, and generates auxiliary information indicating the abnormal state based on the analysis result; and a display control unit that outputs the auxiliary information to a display unit.