Mapping a message sent between computing applications to a computing environment associated with one of the computing applications. The computing environment can be a test environment used for developing the computing application. Identification of the computing environment and other data from the message can be extracted from a header of the message and logged. The logged data can be stored in a storage and displayed via a user interface.

Methods, system, and non-transitory processor-readable storage medium for a resource evaluation system are provided herein. An example method includes obtaining defect data obtained in response to executing software on a plurality of tester systems. The resource evaluation system determines a performance weighted metric associated with a defect detection resource and the defect data. Using the performance weighted metric, the resource evaluation system determines a defect scope delta percentage associated with the defect detection resource and the defect data. The resource evaluation system then determines a defect detection resource score based on the defect scope delta percentage.

A method for analyzing Web content includes receiving a request to validate accessibility compliance of a target User Interface (UI) component in the Web content. In response to the request, executable code is run, including (i) simulating dynamic user interaction with the target UI component, (ii) monitoring a reaction of the target UI component to the simulated user interaction, and (iii) validating the accessibility compliance of the target UI component based on the reaction to the simulated dynamic user interaction.

An imitation learning system may learn how to play a video game based on user interactions by a tester or other user of the video game. The imitation learning system may develop an imitation learning model based, at least in part, on the tester's interaction with the video game and the corresponding state of the video game to determine or predict actions that may be performed when interacting with the video game. The imitation learning system may use the imitation learning model to control automated agents that can play additional instances of the video game. Further, as the user continues to interact with the video game during testing, the imitation learning model may continue to be updated. Thus, the interactions by the automated agents with the video game may, over time, almost mimic the interaction by the user enabling multiple tests of the video game to be performed simultaneously.

A method includes executing, by a processor, a first code section having a first priority; encountering, by the processor, during the executing of the first code section, a breakpoint; receiving, by the processor, while at the breakpoint, an interrupt associated with a second code section, the interrupt having a second priority that is higher than the first priority; servicing, by the processor, the interrupt including executing the second code section; receiving a debug access request associated with the breakpoint during the servicing of the interrupt; blocking servicing of the debug access request until servicing of the interrupt is completed; and servicing, by the processor, the debug access request after completing service of the interrupt.

A method of recording user-driven events within a computing system includes receiving an indication that a user interacted with a first graphical user interface (GUI) user interactive control. The method includes automatically searching at least one vicinity near the first GUI user interactive control for descriptive information associated with the first GUI user interactive control, and automatically recording a user-driven event that represents the user interaction with the first GUI user interactive control and includes the descriptive information.

An existing data protection environment is analyzed to determine a plurality existing infrastructure containers. A popular infrastructure container is identified from the plurality of existing infrastructure containers. Responsive to determining that the popular infrastructure container does not exist within a central repository, the restore container is created within the central repository to match the popular infrastructure container.

The present disclosure is related in general to software testing and a method and a system for generating a valid set of test configurations for test scenarios. A test configuration generation system retrieves one or more test parameters from each of one or more test scenarios associated with a corresponding requirement and a requirement criticality. Further, the test configuration generation system identities data values corresponding to each of the one or more test parameters. Further, it generates a valid set of test configurations for each test scenario based on requirement risk and eliminates one or more invalid test configuration combinations detected and finally a valid set of test configurations for each test scenario is generated. The present disclosure ensures right coverage with right set of configurations that can be executed within the limited time available and reduces 80% of manual efforts in generating the test configurations.

The technique herein substantially improves productivity of Annotator developers by providing methods and systems to develop and test Annotators without having to run a full pipeline every time changes are made to a particular Annotator. To this end, preferably a running pipeline is instrumented to enable automated recording of static configuration and dynamically-generated event data as the pipeline is executed. Based on these data, a reusable data model is generated that captures code and other dependencies in the pipeline (e.g., configuration parameters, intermediary CASes, program flow, annotations, and the like). The data model is then used to facilitate testing of Annotators without using the full pipeline (or even major sub-pipelines therein).

An automated end-to-end analysis of customer service requests is disclosed. A core dump is received, wherein the core dump corresponds to a customer service request regarding a crash of a computer system. The core dump is automatically analyzed with a processor to generate analysis results. A graphical representation for display on a graphic user interface of a computer is generate, wherein the graphical representation corresponds to the analysis results for the core dump.