Abstract: A method including invoking, via an application, a call of a command line utility; providing, via the application, an identifier in the call of the command line utility, where the identifier comprises an operating system controlled memory location; storing output from the command line utility in operating system shared memory at the operating system controlled memory location identified by the identifier; and retrieving, by the application, the command line utility output from the operating system shared memory at the operating system controlled memory location identified by the identifier.

Abstract: A method and an apparatus that execute a parallel computing program in a programming language for a parallel computing architecture are described. The parallel computing program is stored in memory in a system with parallel processors. The parallel computing program is stored in a memory to allocate threads between a host processor and a GPU. The programming language includes an API to allow an application to make calls using the API to allocate execution of the threads between the host processor and the GPU. The programming language includes host function data tokens for host functions performed in the host processor and kernel function data tokens for compute kernel functions performed in one or more compute processors, e.g., GPUs or CPUs, separate from the host processor.

Abstract: A framework for automated testing for use in testing telecommunications software and resources is disclosed that reuses testing code modules, thereby reducing redundancy and increasing efficiency and productivity. The zero coding automation system disclosed herein provides an end-to-end testing automation framework, which minimizes (and in some cases eliminates) the requirement for testers to write software code to test software modules. Instead, the coding automation systems and methods provide a hierarchical framework to translate testing requests (commands, statements, and so on) received in a natural language (for example, English) to testing code modules written in, for example, one or more programming languages (for example, tool specific Application Program Interface (API)/libraries developed to test functionality).

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating similarity groupings of software projects. One of the methods includes computing respective values for a plurality of analysis metrics associated with each software development project of a plurality of software development projects, wherein the analysis metrics include snapshot metrics that represent respective properties of the commit history of snapshots in the software development project, functionality metrics that represent respective properties of software elements in the software development project, or both. A similarity grouping is computed for the primary software development project based on the respective computed values for the plurality of analysis metrics for the plurality of software development projects, wherein the similarity grouping for the primary software development project comprises fewer than all of the plurality of software development projects.

Abstract: System and methods are described to parse input source code and generate a tree representing the input source code, optimize the tree by determining reusable sub-trees of the tree and replacing the reusable sub-trees with variables, and transpile the optimized tree to generate output source code.

Abstract: Model driven engineering (MDE) approaches necessitate verification and validation (V&V) of the models used. Balancing usability of modeling languages with verifiability of the specification presents several challenges. Conventional modeling languages have automated solvers but are hard to interpret and use. Implementations of present disclosure provide systems and methods for validating domain specific models wherein rules and vocabularies in domain specific model are translated to machine interpretable rules (MIR) and machine interpretable vocabularies (MIV) which are processed (via logic programming technique) to generate a logic programming representation (LPR) of the MIR and MIV based on which solution scenarios are generated for validating the domain specific model. Validation of the model involves verifying LPR using a set of ground facts. During validation of solution scenarios of model, system also checks for inconsistences in rules, if any.

Abstract: A method, system and computer-usable medium for collecting and scanning data (i.e., web POST data) before the data is sent. A POST request is sent from a client device to server. The request is through a web browser running a script language listing. The script language listing is paused, while the data is held and scanned. A determination is made to allow or block the data before the data is sent through the POST request.

Abstract: A programming environment and a simple programming language that runs on Ethernet block-input/output (block-IO) devices and hosting servers. In some embodiments, the ARGEE™ system includes a web-based programming environment that compiles a GUI program into a bytecode program of a virtual machine; and the virtual machine that runs in the device firmware and executes the bytecode program representing the GUI program created by a user. There are many programming languages that provide a web-based programming environment. Some such languages apply to embedded devices. However, the ARGEE™ system, considered as a whole, is unique in that the programming environment is not hosted on the same embedded device it controls. The system reduces the FLASH-memory requirements of the device by hosting the environment on an external server. The system also facilitates a faster update cycle of the environment software, making it easier to distribute changes to customers when environment changes.

Abstract: The present application relates to systems for programming devices, such as unmanned autonomous vehicles or “drones,” with a card-based format and methods for using the same. The system and methods generally comprise a programming system that receives one or more instructional cards selected by a user. The system generates an executable program based on the instructional cards received, and transmits the program to a device for execution.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for discounting source code contributions occurring in reverted commits. One of the methods includes identifying, in a time-ordered sequence of commits, one or more matching sequences of additions and deletions of the files which have the same file path, comprising. A value for a contribution metric is computed for a responsible developer entity including discounting portions of the metric resulting from additions and deletions in any of the identified matching sequence of additions and deletions for the files having the same file path.

Abstract: A device can receive a specification identifying information associated with a stateful microservices application. The device can provide a request for storage information associated with the stateful microservices application based on the information included in the specification. The device can receive the storage information based on providing the request. The device can execute a storage installation procedure to provide the stateful microservices application with a storage volume based on receiving the storage information. The storage volume can be capable of providing persistent data storage. The device can provide a notification that the stateful microservices application is available for deployment on the device based on executing the storage installation procedure.

Abstract: A method for scheduling tasks includes receiving input that was acquired using one or more data collection devices, and scheduling one or more input tasks on one or more computing resources of a network, predicting one or more first tasks based in part on the input, assigning one or more placeholder tasks for the one or more predicted first tasks to the one or more computing resources based in part on a topology of the network, receiving one or more updates including an attribute of the one or more first tasks to be executed as input tasks are executed, modifying the one or more placeholder tasks based on the attribute of the one or more first tasks to be executed, and scheduling the one or more first tasks on the one or more computing resources by matching the one or more first tasks to the one or more placeholder tasks.

Abstract: A system for providing automatic management of low latency computational capacity is provided. The system may be configured to maintain a plurality of virtual machine instances. The system may be further configured to identify a trend in incoming code execution requests to execute program code on a virtual compute system, determine, based on the identified trend, that the plurality of virtual machine instances should be adjusted, and adjust the plurality of virtual machine instances based on the identified trend.

Abstract: Embodiments of the present invention are directed to a computer-implemented method for building and executing test cases. A non-limiting example of the computer-implemented method includes building, using a processor, a master test case instruction stream including a plurality of instructions including a replaceable instruction. The computer-implemented method builds, using the processor, a test case instruction stream derivative including the plurality of instructions including a replacement instruction in lieu of the replaceable instruction, and predicts, using the processor, a predicted result of executing the test case instruction stream derivative in a test case environment. The computer-implemented method executes, using the processor, the test case instruction stream derivative on the test case environment to generate an actual test case result and compares, using the processor, the actual test case result with the predicted result to determine proper operation of the test case environment.

Abstract: User input is received specifying components of a graph-based program specification. User input is received specifying links, at least some connecting an output port of an upstream component to an input port of a downstream component. The graph-based program specification is processed to identify one or more subsets of the components, including: identifying one or more subset entry points and one or more subset exit points that occur between components in different subsets based at least in part on data processing characteristics of linked components, and forming the subsets based on the identified subset entry points and exit points. A visual representation of the formed subsets is rendered within a user interface. Prepared code is generated for each formed subset that when used for execution by a runtime system causes processing tasks corresponding to the components in each formed subset to be performed.

Abstract: The present disclosure relates to traversing and processing objects in an object graph. The method and system evaluate an object in the graph to identify one or more objects referenced by the first object. The second object is evaluated to determine whether it is present in a list or previously visited objects, and when it is not, the second object is added to a container of objects and the second object is added to the list of previously visited objects. The first object is processed and then the next object in the container is evaluated.

Abstract: A continuous integration and delivery (CID) pipeline may deploy code in a state of incomplete testing to at least one user. While the code is deployed, a callback address manager of at least one processor in communication with the CID pipeline may hand the code off to a simulation manager of the at least one processor. The simulation manager may test the code and generate a score decision based on a result of the testing. The simulation manager may send the score decision to the callback address manager. The callback address manager may modify deployment of the code based on the score decision.

Abstract: Techniques for performing constructor accessibility checks during deserialization are disclosed. A system receives a command that requires deserializing a serialized object of a target type. The system determines an ancestor type of the target type. Without calling any constructors and regardless of whether the ancestor type is serializable, the system determines whether a constructor of the ancestor type is accessible to the target type. The system deserializes the serialized object only after determining that the constructor of the ancestor type is accessible to the target type.

Abstract: A system and method to build and deploy a cloud device application a cloud and a plurality of devices has been described. Initially a selection of software executable code and runtime architecture of one of the cloud and the plurality of devices is received for deploying the cloud device application including the software executable code. Next a builder image is selected for generating a software executable image corresponding to the software executable code. Next a build process is executed to generate the software executable image corresponding to the software executable code based on the selected builder process. Finally the generated software executable image on one of the cloud and one of the plurality of devices is deployed based on the runtime architecture.

Abstract: A system and method are described for performing service-initiated updates to IoT devices.