Abstract: A method may include applying to at least a portion of historical runtimes associated with each of a plurality of tests included in a test suite, a machine learning model trained to identify one or more outlying runtime values. The portion of historical runtimes may include an n quantity of the most recent historical runtimes. An expected runtime for each test may be determined based on the portion of historical runtimes excluding the outlying runtime values. A schedule for executing each test in the test suite may be determined based on the expected runtime of each test. The test suite may be executed in accordance with the schedule. Moreover, the executing of the test suite may be monitored based on the expected runtime of each test. Related systems and computer program products are also provided.

Abstract: In various embodiments, a data processing consent capture system may be configured to prompt the data subject to consent to one or more types of data processing (e.g., to provide a desired consent) in response to identifying particular cookies (e.g., or types of data processing) that a data subject has not consented to. The system may, for example, substantially automatically prompt the data subject to consent for one or more particular types of data processing in response to determining that the user (e.g., data subject) has requested that a website or other system perform one or more functions that are not possible without a particular type of consent from the data subject. The system may, for example, prompt the user to consent in time for a certain interaction with the website, application, etc.

Abstract: Technologies described herein reduce the size of a software application. In some embodiments, the size of one or more resource files of an application are reduced. Resource files include key/value pairs that define elements of the application. In some embodiments, the application's source code is analyzed to determine if an entry in a resource file may be removed. For instance, initialization functions in the application's source code may be analyzed to determine if a value loaded from a resource file is replaced before being used. For example, a button with a color property may be defined as grey by a resource, but later set to orange in an initialization function. In this case, the resource entry defining the button as grey is superfluous and may be safely removed. This technique allows for entries to be removed from a resource file even though the source code references the entries.

Abstract: The present disclosure pertains to a system configured to generate output data from a series of configurable cloud-computing processing operations. Some embodiments may; obtain, from a first database, data in a first format; process, in a first stage, the obtained data such that the obtained data is normalized; process, in a second stage, data in a second format different from the first format using a first set of cloud-computing devices; and detect, via a user interface, a first selection of at least two processing operations, the first selection being made from among a plurality of available processing operations. Each of the processing stages may include input data, a processing operation, and output data.

Abstract: A method for collaborative logic designing and debugging of a circuit includes initiating, via a session manager, a hardware debug session that includes a plurality of instances of client applications that can access one or more source-codes associated with a logic design of the circuit, the plurality of instances of client applications configured to replicate an execution state of the logic design. The method also includes analyzing, using an instance of a first client application from the plurality of instances of client applications, a defect in the logic design based on the execution state of the logic design. The method also includes editing, using an instance of a second client application from the plurality of instances of client applications, the one or more source-codes, to repair the defect in the logic design.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to allocate hardware in virtualized computing architectures. An example apparatus to manage a virtual server rack comprises a drift analyzer to determine that hardware resources assigned to a virtualized workload domain exceed the resources requested for the virtualized workload domain; and a rebalancer to reassign one or more of the hardware resources in response to an indication from the drift analyzer.

Abstract: In various embodiments, a system may be configured to analyze data for a particular consent capture point to identify a change in consent capture rate from the capture point. The system may, for example, be configured to automatically detect that the system has stopped receiving consent records from a particular capture point. In such embodiments, the system may be configured to generate an alert, and transmit the alert to any suitable individual (e.g., privacy team member, IT department member, etc.) regarding the capture point. The system may, for example, enable an entity to identify one or more capture points that may have become non-functional (e.g., as a result of one or more changes to the capture point).

Abstract: Provided is a specification document creation system including a first computer and a second computer, wherein the first computer is configured to generate, based on configuration information, display data for displaying a first display item, which is determined by the configuration information, of a BIOS on a display device, the configuration information indicating a hardware configuration of the first computer, and analyze the display data to generate first information including the first display item included in the display data, and the second computer is configured to analyze a source code of the BIOS to generate second information including a second display item, which is determined independently of the hardware configuration of the first computer, of the BIOS, and create a specification document for the BIOS in which the first display item included in the first information and the second display item included in the second information are described.

Abstract: Embodiments disclose systems and methods for generating source code. One or more application specific inputs and one or more external inputs are received. Using a machine learning model, source code is automatically generated based on the one or more application specific inputs and the one or more external inputs. The source code can embody the one or more application specific inputs and the one or more external inputs. One or more revisions to the automatically generated source code may be made, and a difference determined between the generated source code and the revised source code. The machine learning model may be further trained to generate a future source code based on the differences it determines.

Abstract: A vehicle electronic control system includes a center device and a vehicle master device. The center device includes: a campaign information obtainer obtaining campaign information of a program update; a vehicle state obtainer obtaining a vehicle state of a target vehicle of the program update; an execution requirement setter setting an execution requirement of a phase in the program update based on the campaign information obtained by the campaign information obtainer and the vehicle state obtained by the vehicle information obtainer; an execution requirement notifier notifying the vehicle master device of the execution requirement set by the execution requirement setter; and an update data deliverer delivering the update data to the vehicle master device.

Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.

Abstract: Techniques for adaptive thresholding are provided. A first data point in a data stream is received, and a first plurality of data points from the data stream is identified, where the first plurality of data points corresponds to a timestamp associated with the first data point. At least a first cluster is generated for the first plurality of data points, and a predicted value for the first data point is generated based at least in part on data points in the first cluster. A deviation is computed between the predicted value for the first data point and an actual value for the first data point. Upon determining that the deviation exceeds a first predefined threshold, the first data point is labeled as anomalous, and reallocation of computing resources is facilitated based on labeling the first data point as anomalous.

Abstract: Methods and systems are described herein for integrating model development control systems and model validation platforms. For example, the methods and systems discussed herein recite the creation and use of a model validation platform. This platform operates outside of the environment of the independently validated models as well as the native platform into which the independently validated models may be incorporated. The model validation platform may itself include a model that systematically validates other independently validated models. The model validation platform may then provide users substantive analysis of a model and its performance through one or more user interface tools such as side-by-side comparisons, recommended adjustments, and/or a plurality of adjustable model attributes for use in validating an inputted model.

Abstract: Systems and methods of generating voice-based software applications are provided. A system can receive, from an application developer computing device, a request to build a voice-based software application. The system can select an application template from a plurality of application templates. The selected application template can include a module that corresponds to a function of the voice-based software application. The system can provide the selected application template to the application developer computing device. The system can receive, from the application developer computing device, an input for a field of the at least one module of the selected application template. The system can generate the voice-based software application based on the selected application template and the input for the at least one field of the at least one module of the selected application template.

Abstract: Disclosed are systems, computer-readable media and methods for monitoring performance data across microservices. One example method includes establishing a service policy configured on a centralized switch controller, applying the service profile to a virtual interface associated with a microservice, mapping a microservice name for the microservice to an IP address and a port number, tracking a protocol flow for the microservice, wherein the protocol flow is associated with a virtual switch, to yield data, aggregating the data to yield aggregated data and presenting the aggregated data on a user interface.

Abstract: Methods and apparatus for distribution and execution of instructions in a distributed computing environment are disclosed. An example apparatus includes memory; first instructions; and processor circuitry to execute the first instructions to manage an instruction queue. The instruction queue includes indications of second instructions to be executed at a component server. The processor circuitry is to add a first indication of a corresponding one of the second instructions to the instruction queue. The first indication is to identify: (1) a location of the second instruction and (2) a format of the second instruction. In response to a second indication that the second instruction has been executed, the processor circuitry is to remove the first indication from the instruction queue.

Abstract: Embodiments of systems and methods disclosed herein provide an application development platform in an enterprise computing environment. More specifically, in certain embodiments, systems and methods are disclosed that enable an application development platform to reuse, extend, and/or customize entity-based applications in an enterprise computing environment. The application development platform can extend an entity to include user configured settings including zero or at least one of a property, a permission, an action, a behavior, or a resource to the entity to generate user customized versions of the entity. The applications may be customized by an end user, while allowing the underlying application to be updated without losing any user customizations.

Abstract: A computing device determines, for a first time period, a usage-based file list identifying one or more executable files. The computing device determines, for each of the one or more executable files identified by the usage-based file list, whether to perform a malware scan upon the executable file based on a cached record for the executable file. The computing device schedules, for execution during a preceding time period before the first time period, a malware scan for at least one of the one or more executable files based on the corresponding determination of whether to perform a malware scan. Each scheduled malware scan is initiated as a low priority thread for execution. The computing device performs each scheduled malware scan during the preceding time period.

Abstract: A compilation system can define, at compile time, the data blocks to be managed by an Even Driven Task (EDT) based runtime/platform, and can also guide the runtime/platform on when to create and/or destroy the data blocks, so as to improve the performance of the runtime/platform. The compilation system can also guide, at compile time, how different tasks may access the data blocks they need in a manner that can improve performance of the tasks.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for creating an application lifecycle management platform for big data applications. In one embodiment the lifecycle management platform can include a multiple-layer container file that integrates multiple big-data tools/platforms. The system may create a generic template application, create a build environment for the generic template application, create a test environment for the generic template application, and run the built generic template application in the test environment prior to the user writing any new code in the generic template application. In one embodiment, the test environment includes a container management system or virtual machine that launches the big data application (which may be the generic template application before a developer edits the file) on a separate big-data server cluster.