Abstract: In some examples, one or more processors configured by executable instructions receive, from a first computing device, at least one key-to-string mapping related to updated software located at a repository. The one or more processors further receive an indication of a target locale associated with the updated software. The one or more processors may compare a first string from the at least one key-to-string mapping with translated strings maintained in a database in association with the target locale to determine that a translated version of the first string for the target locale is present in the database. The one or more processors may send the translated version of the first string from the database to the first computing device in association with the updated software located at the repository.

Abstract: The technology disclosed herein enables performing data correlation to optimize continuous integration environments.

Abstract: A method, including accessing a corpus or infrastructure as code modules including respective resource definitions for provisioning and deploying a plurality of computing resources configured to execute one or more software applications. A repository of validation rules are accessed that define respective acceptable configuration parameters for the resource definitions, and the validation rules are applied to the resource definitions so as to identify a first set of the resource definitions not in compliance with the validation rules and a second set of the resource definitions in compliance with the validation rules. A first resource definition not in compliance with a given validation rule is selected from the first set, and one or more second resource definitions are identified in the second set that are compliant with the given validation rule. Finally, the first and the second resource definitions are output together to invoke a revision of the first resource definition.

Abstract: A method includes receiving a text description of a system capability request, and converting the text description into a normalized description of the system capability request. A repository is then queried, based on the normalized description and using a search algorithm, to identify multiple candidate application software units (ASUs). The candidate ASUs are displayed to a user for selection. The user-selected ASU is then deployed, either locally or to at least one remote compute device, in response to receiving the user selection. Deployment can include the user-selected candidate ASU being integrated into a local or remote software package, thus defining a modified software package that is configured to provide the system capability.

Abstract: Aspects of the disclosure relate to monitoring and detecting security vulnerabilities in software code to be executed in a continuous integration and continuous delivery (CI/CD) environment. A computing platform may receive, via the communication interface, an indication of a user request to deploy a code in a CI/CD environment, in which the user request includes user account information and the code. The computing platform may then analyze the code to identify a presence of one or more potential vulnerabilities in the code, including executing a security process on the code. Based on identifying one or more potential vulnerabilities, the computing platform may thereafter determine an alert action and send, via the communication interface, to the developer computing platform, the alert action.

Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.

Abstract: Disclosed herein are techniques for reducing a size of a delta file. Techniques include receiving change code representing a change to device code installed on a device; receiving the device code; identifying, by parsing the change code or a code structure representing the change code, a first function represented by the change code; identifying, by parsing the device code or a code structure representing the device code, a second function represented by the device code; identifying a plurality of subfunctions based on the first and second functions; determining sub-changes to at least some of the plurality of subfunctions, the sub changes being associated with a change to the second function; and generating the delta file comprising object change elements, the object change elements being configured to effect the sub-changes to the device code.

Abstract: The subject technology detects a code commit at a code repository. The subject technology sends a request for a build job to a build server. The subject technology determines that the build job is completed. The subject technology sends a training request and user token to a proxy authenticator. The subject technology determines determining that the user token is validated. The subject technology sends a training request and the user token to a training job manager. Further, the subject technology determines determining that the training job is completed.

Abstract: A method includes receiving a selection of a first change to a project in a first repository of a plurality of repositories and identifying one or more attributes of the first change to the project. The method further includes identifying a second change to the project in the plurality of repositories in view of the one or more attributes of the first change and performing an action in view of identifying the second change to the project.

Abstract: A method includes receiving, by a microcontroller, a live firmware update (LFU) command from an external host; and downloading, by the microcontroller, an image of a new version of firmware responsive to the LFU command. During a first time period, the method includes initializing only variables contained in the new version that are not contained in an old version of firmware. During a second time period, the method includes updating one or more of an interrupt vector table, a function pointer, and/or a stack pointer responsive to the new version. The second time period begins responsive to completing initialization of the variables.

Abstract: There is provided a process for evaluating software comprising extracting data (12) relating to metrics from a plurality of software elements (10), each metric representing a dimension of a first reference system, using the extracted data to create a second reference system (16) based on variance in the extracted data, calculating the position of each software element in the second reference system and displaying the position of each software element in the second reference system in a maximum of three dimensions thereby to show in a graphical form the inter-relationship of the software elements to each other. The position of each software element in the second reference system (16) retains the extracted data for examination.

Abstract: A system and method for updating a customer cluster includes receiving first data from a group of customers intended to receive an update, identifying a subset of customers from the group of customers based on the first data for receiving a canary version of the update, facilitating installation of the canary version of the update on each of the subset of customers, receiving second data from each of the subset of customers upon installation of the canary version of the update, predicting whether the subset of customers that receive the canary version is to increase or decrease based on the second data, and adjusting a number of customers in the subset of customers for receiving the canary version of the update based on the prediction.

Abstract: Methodologies for upgrading and patching an in-database application package and its application instances. A data platform determines a number of objects of an application instance running on the data platform at a previous version level of an application package of the application instance. In response to determining the number of objects of the application package running on the data platform at the previous version level of the application package is one or more, the data platform continues determining the number of objects running on the data platform at a previous version level of the application package. In response to determining the number of objects of the application instance running on the data platform at the previous version level of the application package is none, the data platform upgrades the application instance to the new version of the application package.

Abstract: A computer-implemented method, system and computer program product for analyzing test result failures using artificial intelligence models. A first machine learning model is trained to differentiate between a bug failure and a test failure within the test failures based on the failure attributes and historical failures. The failure type for each failed test in test failure groups is then determined using the first machine learning model. The failed tests in the test failure groups are then clustered into a set of clusters according to the failure attributes and the determined failure type for each failed test. A root cause failure for each cluster is identified based on the set of clusters and the failure attributes. The root cause of an unclassified failure is predicted using a second machine learning model trained to predict a root cause of the unclassified failure based on identifying the root cause failure for each cluster.

Abstract: Methods, systems, and computer program products for deploying a static code analyzer based on program synthesis from input-output examples. A computer system uses program synthesis on a set of input-output examples of source code edits to generate a rewrite rule that defines a transformation pattern. Based on a determined static code analyzer format, the computer system generates a static code analyzer from the rewrite rule. The static code analyzer includes a find portion that indicates a matching condition for identifying a portion of source code text, and a fix portion that indicates a textual replacement to apply to the portion of source code text matched by the find portion. The computer system deploys the static code analyzer to a development environment, including configuring the static code analyzer to be executable against a source code file within the development environment.

Abstract: By analyzing execution of a set of transactions by an application, a set of actual code execution paths of the application are determined. From the set of actual code execution paths, a set of predicted execution paths of the application are predicted using an execution prediction model. The set of predicted execution paths includes the set of actual code execution paths. By determining that paths in the set of predicted execution paths have above a threshold similarity to each other, a cluster of predicted execution paths is identified. The cluster of predicted execution paths is recommended, using a recommendation model, for implementation as a single execution path in a revised version of the application.

Abstract: Systems and methods are provided for generating a plurality of applications of disparate types. A graphical user interface is provided for designing an interactive user experience, where a designed user experience includes an arrangement of experience elements, where the experience elements include a plurality interactive elements and decorative elements, and where each of the experience elements are configured for display according to one or more attributes. An identification of the experience elements and the attributes of the experience elements is received via the graphical user interface. An identification of a plurality of disparate types of applications to be generated based on the designed experience is received. The experience is translated for each of the disparate types of applications to generate the plurality of applications of disparate types.

Abstract: Technology for configuring and executing a shallow virtual machine to enhance memory protection between different portions of user space memory of a particular computing process. An example method involves: receiving, by a processor of a host, a request to create a computing process comprising a first and second executable code, wherein the computing process comprises an instruction to cause the processor to switch between first and second page table structures; loading the first and second executable code into memory of the host, wherein the first page table structure comprises mapping data for the first executable code and for the second executable code and wherein the second executable code comprises driver code of a device; updating the second page table structure to disable execution of the first executable code and to provide the second executable code with access to the device; and restricting the first executable code from accessing the device.

Abstract: An example system and method facilitate automatically generating a software application (e.g., a micro app) to facilitate performing a task, such as collecting information. In one embodiment, the method includes recording plural incidents filed by customers seeking assistance; detecting the filing of a new incident by a customer; using an Artificial Intelligence algorithm to process the incident, based on the plural incidents, to automatically determine additional information, and to determine one or more User Interface (UI) features for facilitating retrieving the additional information from the customer; generating a description of a UI that incorporates the one or more UI features; producing a mechanism (e.g.

Abstract: A graphical user interface (GUI) for an automation application is described herein. The automation applications present the GUI on a display. The GUI displays a directed graph representing a macro for a target application. The directed graph comprises nodes and directed edges connecting the nodes. Each node in the node in the nodes is assigned to an input received by the target application during recording of the macro. Each directed edge is assigned criteria that are to be satisfied in order to traverse each directed edge. Responsive to receiving a modification to the directed graph, the automation application displays a modified directed graph based upon the modification. The automation application generates a modified macro based upon the modified directed graph.