Abstract: Systems and methods for mapping a location in a source code to a location in a machine code are disclosed. An identifier of the source code and an identifier of a first location of the source code are received. A marker is inserted in association with the source code based on the identifier of the first location. The source code is compiled into machine code. A second location associated with the marker is identified in the machine code. A third location is returned based on identifying the second location.

Abstract: A device may receive an application for transforming legacy applications into low-code/no-code applications to be managed by a low-code/no-code platform, and may execute the application for a legacy application of the legacy applications. The device may process the legacy application, with a machine learning model, to identify one or more components of the legacy application to be managed by the low-code/no-code platform, and may transform the one or more components into one or more transformed components to be managed by the low-code/no-code platform. The device may implement the one or more transformed components in the legacy application to generate a transformed legacy application, and may perform one or more actions based on the transformed legacy application.

Abstract: Embodiments may facilitate event processing for an ABAP platform. A business object data store may include a RAP model, including a behavior definition, for a business object. A framework may automatically transform the behavior definition of the RAP model into a producer event vian event binding and a cloud event standardized format. Information about the producer event may then be passed to an ABAP application associated with a pre-configured destination at an enterprise business technology platform. In some embodiments, a standalone API enterprise hub data store may contain an event specification. An ABAP development tenant of a business technology platform may automatically parse the event specification and translate the parsed information into high-level programming language structures that reflect an event type at runtime. An event consumption model may then be generated based on the event type.

Abstract: Using a natural language (NL) latent presentation in the automated conversion of source code from a base programming language (e.g., C++) to a target programming language (e.g., Python). A base-to-NL model can be used to generate an NL latent representation by processing a base source code snippet in the base programming language. Further, an NL-to-target model can be used to generate a target source code snippet in the target programming language (that is functionally equivalent to the base source code snippet), by processing the NL latent representation. In some implementations, output(s) from the NL-to-target model indicate canonical representation(s) of variables, and in generating the target source code snippet, technique(s) are used to match those canonical representation(s) to variable(s) of the base source code snippet. In some implementations, multiple candidate target source code snippets are generated, and a subset (e.g., one) is selected based on evaluation(s).

Abstract: The present disclosure relates generally to a system that includes a storage component that stores data and a processor. The processor may install an application using a portion of the storage component, partition the portion of the storage component from a remaining portion of the storage component, and execute the application via the portion of the storage component.

Abstract: Techniques regarding augmenting one or more training datasets for training one or more AI models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise training augmentation component that can generate an augmented training dataset for training an artificial intelligence model by extracting a simplified source code sample from a source code sample comprised within a training dataset.

Abstract: Disclosed herein is technology to use customized compiler attributes to check source code. An example method may include: accessing, by a processing device executing a compiler, a source code that comprises a compiler attribute associated with a programming construct, wherein the compiler attribute is defined in the source code; executing, by the processing device, a function of the compiler to check the programming construct at a location in the source code, wherein the function checks the programming construct by evaluating the compiler attribute associated with the programming construct; determining, by the processing device executing the compiler, whether to generate a message indicating a status of the check; and generating, by the processing device executing the compiler, object code based on the source code that comprises the compiler attribute.

Abstract: The present disclosure provides for synchronization of multi-core systems by monitoring a plurality of debug trace data streams for a redundantly operating system including a corresponding plurality of cores performing a task in parallel; in response to detecting a state difference on one debug trace data stream of the plurality of debug trace data streams relative to other debug trace data streams of the plurality of debug trace data streams: marking a given core associated with the one debug trace data stream as an affected core; and restarting the affected core.

Abstract: A system for testing applications is disclosed. The system includes one or more processors, one or more communications modules coupled to the one or more processors to enable communications between services provided by the system, and at least one memory coupled to the one or more processors. The at least one memory stores computer executable instructions to enable a plurality of virtualized test services, each virtualized test service at least in part emulating dependent server responses to application operations. The instructions enable a load-balancing service for communication with the plurality of virtualized test services, and test an application based on a load, by directing the application to interact with the plurality of virtualized test services that are available, while avoiding communicating with the dependent servers during testing. The load-balancing service balances the testing of the application between the plurality of virtualized test services that are available.

Abstract: A process for retrieving configuration information for a controller of a building automation system (BAS) includes verifying login information on a mobile computing device to ensure the mobile computing device has authority to access a wiring diagram. Then, a mobile computing device receives identity information associated with the controller via Near Field Communication (NFC) read operations from memory of an NFC tag associated with the controller and retrieves, using the identity information, the wiring diagram from a storage medium. The mobile computing device further displays the retrieved wiring diagram associated with the controller.

Abstract: A specification of a program code component module implementing a portion of a program application is received. A trained machine learning model is used to automatically predict to which one among a plurality of program architecture layer classifications the program code component module belongs. An automatic analysis option is selected based on the predicted program architecture layer classification for the program code component module. The selected automatic analysis option is performed on the program code component module.

Abstract: A method for managing a client environment includes obtaining, by a client device upgrade manager, an upgrade estimation for a client device executing in the client environment, wherein the upgrade estimation corresponds to an application upgrade for an application, in response to the upgrade estimation: performing an optimal time slot analysis for the client device to identify a set of optimal time slots, presenting the set of optimal time slots to the client device, obtaining, by the client device, a requested time slot for the application, and in response to the requested time slot, initiating an installation of an application upgrade of the application.

Abstract: A mobile application development system includes a developer portal that receives an application from a developer and provides a routing library to the developer to augment the application. An offline analysis system analyzes the application to (i) determine a set of activities that a handler within the application is programmed to resume in response to respective resumption requests from a host operating system and (ii) determine parameters for each of the activities. The offline analysis system generates a set of links that each corresponds to a respective one of the activities. The routing library, installed as part of the augmented application onto a user device, receives a link, from the user device's operating system, that identifies a first activity. The routing library includes instructions for generating a first resumption request based on parameters corresponding to the first activity and transmitting the first resumption request to the augmented application's handler.

Abstract: Embodiments described herein are generally directed to an edge-CaaS (eCaaS) framework for providing life-cycle management of containerized applications on the edge. According to an example, declarative intents are received indicative of a use case for which a cluster of a container orchestration platform is to be deployed within an edge site that is to be created based on infrastructure associated with a private network. A deployment template is created by performing intent translation on the declarative intents and based on a set of constraints. The deployment template identifies the container orchestration platform selected by the intent translation. The deployment template is then executed to deploy and configure the edge site, including provisioning and configuring the infrastructure, installing the container orchestration platform on the infrastructure, configuring the cluster within the container orchestration platform, and deploying a containerized application or portion thereof on the cluster.

Abstract: Translating text encodings of machine learning models to executable code, the method comprising: receiving a text encoding of a machine learning model; generating, based on the text encoding of the machine learning model, compilable code encoding the machine learning model; and generating, based on the compilable code, executable code encoding the machine learning model.

Abstract: In some implementations, a regression prediction platform may obtain one or more feature sets related to an impending code change, wherein the one or more feature sets may include one or more features related to historical code quality for a developer associated with the impending code change or a quality of a development session associated with the impending code change. The regression prediction platform may provide the one or more feature sets to a machine learning model trained to predict a risk associated with deploying the impending code change based on a probability that deploying the impending code change will cause breakage after deployment and/or a probability that the impending code change will cause support issues after deployment. The regression prediction platform may generate one or more recommended actions related to the impending code change based on the risk associated with deploying the impending code change.

Abstract: A method implemented by at least one server for pushing managed package upgrades comprises receiving a dependency graph from an operating entity via an API call that expresses relationships between a set of software packages. A subscriber set is ingested for subscribers of the software packages via an API call to the operating entity that owns the software packages. A per-subscriber dependency graph is constructed expressing relationships between the individual subscriber's delivery operations. The set of packages is delivered based on dependency order of the per-subscriber dependency graph, while applying one or more rules including: i) push schedule rules that allow the first operating entity to specify time-based gates for the deliveries; ii) subscriber exclusion rules that allow the operating entity to exclude specific subscribers; iii) rules for automatic retries of failed operations; and iv) rules to chunk the push upgrade operations.

Abstract: A method is described herein that comprises receiving scanned documents, wherein the scanned documents comprise unstructured data. The method includes performing optical character recognition of the scanned documents to produce text data for each page of the scanned documents, wherein the text data for each page comprises a sequence of words stored together with their location. The method includes dividing each page of the scanned documents into subsections. The method includes using the text data to identify a structure type of each subsection of a page, wherein the structure type includes at least one of a table and text paragraph. The method includes using the text data to label each subsection of a page with a semantic type, wherein the semantic type defines a context surrounding collection of information in a subsection. The method includes using the text data for each subsection of a page to identify medical concepts.

Abstract: The present disclosure provides systems and methods for synthesizing computer-readable code based on the receipt of input and output examples. A computing system in accordance with the disclosure can be configured to receive a given input and output, access and library of operations, and perform a search of a library of operations (e.g., transpose, slice, norm, etc.) that can be applied to the input. By applying the operations to the input and tracking the results, the computing system may identify an expression comprising one or a combination of operations that when applied to the input generates the output. In this manner, implementations of the disclosure may be used to identify one or more solutions that a user having access to the library of operations may use to generate the output from the input.

Abstract: The present invention aims at providing an approach to digital twin-based process control for efficient and accurate achievement of process objectives. Heretofore, a controller service module (18) runs an event-driven control process in a digital twin domain for control of process entities operated in a process domain. The behavior of process entities is modeled through execution of state machine models. Event data is communicated asynchronously to the controller service module (18) for storage in a process cycle buffer (26). A model-based process controller (24) reads input information in processing cycles and controls process entities by operating state machine models to reflect the input of event data. It is checked whether the operation of state machine models triggers the generation of external control commands which are then output by an outbound interface (32) to process entities for control processing.