Abstract: A method for automatic generation of integrated test procedures using system test procedures includes generating a system test case for each system model of a plurality of system models. The method also includes automatically generating an integrated test harness including a group of interacting system models of the plurality of system models. An output signal from one or more of the interacting system models is an input signal to one or more other interacting system models. The method additionally includes automatically generating an integrated test case for each system model in the integrated test harness and automatically running the integrated test case using an integrated test procedure. The method further includes generating an integrated test procedure coverage report in response to running the integrated test case.

Abstract: An electronic control system for vehicle includes a center device that manages a program update of a vehicle, and a vehicular master device that is communicable with the center device. The center device, responsive to a user giving approval for program update by using a device not being a possession owned by the user, receives approval information of the user, and stores and manages the approval information in association with vehicle information of the user. The center device transmits the approval information to the user's vehicle side. When the vehicular master device receives the approval information, the vehicular master device performs rewriting of the program.

Abstract: Techniques of automated interoperation tracking in computing systems are disclosed herein. One example technique includes tokenizing a first event log from a first software component and a second event log from the second software component by calculating frequencies of appearance corresponding to strings in the first and second event logs and selecting, as tokens, a first subset of the strings in the first event log and a second subset of the strings in the second event log individually having calculated frequencies of appearance above a preset frequency threshold. The example technique can also include generating an overall event log for a task executed by both the first and second software components by matching one of the strings in the first subset to another of the strings in the second subset.

Abstract: A method for managing information handling resource versions includes maintaining one or more snapshots of one or more validated release versions for a group of components. Each validated release version indicates a component version for each component in the group. Each component version in a higher validated release version is required to be greater than or equal to a corresponding component version in a lower validated release version. Responsive to identifying an instance of the component group in an non-validated state, disclosed methods identify a lowest validated release version that “covers” the non-validated state, wherein a validated release version covers any state in which no component version is greater than its corresponding component version in the validated release version. The instance of the component group is updated to a validated release version that equals or exceeds the lowest validated version.

Abstract: In particular embodiments, a data processing data inventory generation system is configured to: (1) generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization; (2) generate a respective data inventory for each of the one or more data assets; and (3) map one or more relationships between one or more aspects of the data inventory, the one or more data assets, etc. within the data model. In particular embodiments, a data asset (e.g., data system, software application, etc.) may include any entity that collects, processes, contains, and/or transfers personal data (e.g., a software application, database, website, server, etc.). A data asset may include any software or device (e.g., server or servers) utilized by a particular entity for such data collection, processing, transfer, storage, etc. The system may then utilize the generated model to fulfil a data subject access request.

Abstract: The subject disclosure relates to techniques for managing the configuration of vehicles. A process of the disclosed technology can include steps of receiving a first vehicle identifier for a first vehicle, wherein the first vehicle is associated with a first vehicle platform, identifying a first configuration for the first vehicle platform based on the first vehicle identifier, receiving a second vehicle identifier for a second vehicle, wherein the second vehicle is associated with a second vehicle platform, and wherein the first vehicle platform is different from the second vehicle platform, and identifying a second configuration for the second vehicle platform based on the second vehicle identifier, wherein the first vehicle and the second vehicle run on an identical software stack. Systems and machine-readable media are also provided.

Abstract: An embodiment of the present invention is directed to a system and method for implementing a self-driven change detection release automation. According to an embodiment of the present invention, a software release bot may be created and installed on software running environment. The bot may further detect changes on a server environment. For example, the bot may be integrated with scheduling and other tools where the bot is programmed to wake up at predetermined time intervals, e.g., 15 minutes. According to an embodiment of the present invention, the bot may handle release activities defined in the configuration, e.g., stop, start, send notification, etc. The bot is able to save release events log for change audit.

Abstract: A computer system for generating code for use in processing patient test data from point of care devices. The computer system comprises object definition storage storing a plurality of definition objects, each definition object defining a generic function to be performed in response to an output of a point of care device; instantiation data storage storing instantiation data for use in instantiating definition objects as processing objects for specific functions to be performed in response to outputs from specific point of care devices; and a code generating processor for generating code for at least one processing object to perform at least one specific processing function to process an output from a point of care device by accessing at least one definition object in the object definition storage and the instantiation data in the instantiation data storage to instantiate the at least one definition object using instantiation data for the point of care device.

Abstract: A system includes a source vehicle and a destination vehicle. The destination vehicle is configured to determine that the source vehicle and the destination vehicle are suitably close to exchange data through a wireless communications channel, compare current version numbers in the destination vehicle with approved version numbers in the source vehicle, approve an update for one or more current software components in the destination vehicle in response to one or more criteria, receive one or more approved software components at the destination vehicle from the source vehicle via the wireless communications channel in response to the current version numbers of the current software components approved for the update being different from corresponding ones of approved version numbers of the approved software components, and update the one or more current software components in the destination vehicle with the one or more approved software components received from the source vehicle.

Abstract: A method may include receiving an indication of an available updated container. The method may also involve identifying one or more compute surfaces comprising a first container and a second container that correspond to the available container, such that the first container may control one or more operations of an operational technology (OT) device. The method may also include scheduling a deployment of the updated container to replace the second container, receiving expected output data associated with a digital model associated with the OT device, and scheduling a switchover of control of the one or more operations to the second container based on the expected output data.

Abstract: A computer-implemented method and system involve providing a script-driven framework to monitor performance of operations on two or more sets of objects to be executed on a target system in parallel on separate threads according to a test scenario with user-defined language stipulations from a script file, and executing the script file through the framework to implement the test scenario on the target system. The language stipulations include an operation hierarchy for each of the two or more sets of objects and at least one synchronization point corresponding to a point in time at which operations on the separate threads are to be synchronized. The framework can be XML-compliant.

Abstract: The present concepts may automate and optimize deployment to a cloud computing fleet. Artificial intelligence and/or optimization algorithms may be used to find optimal deployment parameters (e.g., deployment order of computers in the fleet) that minimize deployment time and minimize deployment risk. For example, machine-learning prediction models may be used to generate a shortest path graph problem models a deployment planning problem. Then, optimization algorithms may be used to efficiently find approximations of Pareto-optimal solutions to the shortest path graph problem. Depending on the preferred level of time and risk, one of the solutions may be used to run the deployment.

Abstract: Examples disclosed herein relate to providing a subset of software components customized for a device to the device prior to the device installing an associated operating system. An update platform including a repository including a number of software components associated with multiple operating systems and multiple hardware sets is to determine that an operating system install is to occur on the device. The update platform is to select a subset of the software components for the device based on the operating system install and hardware devices on the device. The update platform is to push the subset to a storage coupled to a baseboard management controller of the device prior to the operating system install.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: A secure and flexible pipeline management solution includes determining, based at least on an order in which files are received, a precedence for defining variables, and when a file has multiple definitions for a variable, the order of appearance of the definitions defines precedence. A configuration file is generated with controlling definitions, which are based on the precedences, and a continuous integration continuous delivery (CI/CD) pipeline is executed dependent upon the configuration file. Multiple inheritances and string interpolation are supported. An advantageous result is a significantly simplified CI/CD pipeline that is secure, flexible, and is agnostic to the target environment. Thus, adding a new environment may not require the conventional (burdensome) task of adding further logical dependencies into the pipeline itself. The disclosed solution thus enhances efficiency and reduces errors when maintaining code bases.

Abstract: A method of and system for customizing a rollout process of application features includes providing a list of one or more application features for display on a user interface screen, the software application features being application features that are scheduled for a staged rollout, enabling selection of one of the application features for enrolling in late-stage rollout or opting out of the staged rollout, receiving a request for enrolling a user entity in late-stage rollout or opting the user entity out of the staged rollout, storing a property associated with the user entity in a data store, the property indicative of the user entity enrolling in late-stage rollout or opting out of the staged rollout, accessing the stored property, when selecting a plurality of enterprises or users for the staged rollout of the application feature, and depending on the accessed property, selecting the user entity for late-stage rollout or not selecting the user entity for the staged rollout.

Abstract: Aspects of the disclosure relate to conducting software testing using dynamically masked data. In some embodiments, a computing platform may receive, from a developer computing platform, a test execution request that includes a test code for execution. Subsequently, the computing platform may establish a secure connection to an enterprise data storage database. Upon establishing the secure connection, the computing platform may request confidential data from the enterprise data storage database in connection the test execution request. Thereafter, the computing platform mat execute the test code, which may include receiving encrypted confidential data from the enterprise data storage, decrypting the confidential data, and plugging the confidential data into the test code.

Abstract: A deployment orchestrator system is disclosed that determines an impact of deploying a new version of a component of an application deployed in a computing environment. The impact of deploying the new version of the component may be determined by generating a deployment factor for deploying the new version of a component based on analyzing information that identifies both a technical and a non-technical impact of an update made to the component. In certain embodiments, the deployment orchestrator system includes capabilities for generating different deployment plans for deploying the new version of the component. Each deployment plan is tailored based on a specific deployment factor determined for the deployment. The new version of the component is then deployed based at least in part on the deployment plan to different production regions of a production environment of the deployment orchestrator system.

Abstract: Techniques are described for enabling the automatic refactoring of software application source code to mitigate identified anti-patterns and other software modernization-related issues. A software modernization system analyzes software applications to generate various types of modernization report information, where the report information can include identifications of various types of design and cloud anti-patterns, proposed decompositions of monolithic applications into subunits, refactoring cost information, recommended modernization tools and migration paths, among other such information. A software modernization system further includes a refactoring engine that can automatically refactor source code based on such application analysis information, e.g., to automatically address identified anti-patterns, restructure code for decomposition, etc. A refactoring engine performs refactoring actions based on refactoring templates, machine learning (ML) refactoring models, or other input.

Abstract: An electronic apparatus includes: a processor configured to execute a firmware program and a monitor program exclusively, switch between multiple operation modes, and start up the firmware program according to the monitor program; and nonvolatile memory which includes, storage regions for a plurality of firmware programs, a signature table that holds signatures of the firmware programs individually stored in the storage regions or a signature of a firmware program including an identification number of an update notification used for update, a firmware program storage for information specifying a firmware program selected to be executed, a first storage that holds an execution result of a firmware program selected in accordance with the monitor program, a second storage that holds the update notification acquired by the execution of the firmware program, and a third storage that holds a maximum identification number of firmware programs that have been executed.