Abstract: Technologies for creating and executing a runnable that includes a decision diagram (DD)-based optimization function are capable of configuring the runnable based on runnable options data passed by the client program to a runner function, creating an executable version of the configured runnable based on context data associated with the client program, using input data read from the data source, creating a decision model and executing the executable version of the configured runnable using the decision model, and writing output produced by the executing of the executable version of the configured runnable to the data source.

Abstract: Methods and apparatus for performing profile-guided optimization of integrated circuit hardware are provided. Circuit design tools may receive a source code and compile the source code to generate a hardware description. The hardware description may include profiling blocks configured to measure useful information required for optimization. The hardware description may then be simulated to gather profiling data. The circuit design tools may then analyze the gathered profiling data to identify additional opportunities for hardware optimization. The source code may then be modified based on the analysis of the profiling data to produce a smaller and faster hardware that is better suited to the application.

Abstract: A method of training a reinforcement machine learning computer system. The method comprises providing a machine-learning computer programming language including a pre-defined plurality of reinforcement machine learning criterion statements, and receiving a training specification authored in the machine-learning computer programming language. The training specification defines a plurality of training sub-goals with a corresponding plurality of the reinforcement machine learning criterion statements supported by the machine-learning computer programming language. The method further comprises computer translating the plurality of training sub-goals from the training specification into a shaped reward function configured to score a reinforcement machine learning model configuration with regard to the plurality of training sub-goals.

Abstract: Described herein is a system and method for providing bounded recursion under bounded concurrency, for use with microservices or reactive programming environments. The system is adapted to determine, for example during evaluation of a chain of Continuations, that the concurrency of onComplete invocations is mutually exclusive with the recursive invocations. The number of concurrently executing threads can be bounded, such that the recursion only needs to operate within a reasonable bound—it does not need to be fully precluded. With these relaxations in mind, the system can enforce a bound on recursion without further synchronization actions.

Abstract: A highly scalable automated testing system includes an automated testing controller, an automated testing message server and an automated testing message terminal running on a set of automated testing target devices. The controller and the terminals register themselves with the message server. A testing case is programmed for testing an SDK on a number of target devices concurrently and transformed into a set of command messages in JSON message format. The controller sends the set of messages to the message server. The message server then distributes the set of command messages to the terminals. In response, the terminal calls corresponding APIs of the SDK. The APIs called can be the same or different between the devices within the set of target devices. The SDK returns a result that is forwarded to the server. The server sends the results from the target devices to the controller. The controller verifies the results.

Abstract: A code completion system predicts candidates to complete a code fragment with a tag name and/or an attribute name in source code written in a hierarchically-structured language. Candidates for predicting a tag name are based on a first-order tag Markov chain model generated from usage patterns of relationships of tag names found in a training dataset. Candidates for predicting an attribute name are based on a second-order attribute Markov chain model generated from usage patterns of sequences of attribute names associated with each tag name found in the training dataset.

Abstract: Signing source code using a vault device is described. An example method can include receiving, with a client device, source code that is to be committed to a repository. The method further can include sending, with a processing device to a vault device, a request to sign the source code. The method can further include receiving, from the vault device, a signed commit of the source code. In addition, the method can include pushing the source code and the signed commit to the repository, wherein the repository commits the source code and signed commit.

Abstract: The present application is directed towards systems and methods for cluster-based code analysis and transformation. Cluster-based analysis may group code objects based on their similarity across functional areas, such as where a code object is cloned in multiple areas (e.g. sort functions that are duplicated across areas, or reports or tables that are identical). In some implementations, objects may be grouped into clusters by type, or based on reading from or writing to a common table. In some implementations, clustering at different layers may be possible.

Abstract: A system/process/computer program product for building multi-representational learning models for static analysis of source code includes receiving training data, wherein the training data includes a set of source code files for training a multi-representational learning (MRL) model for classifying malicious source code and benign source code based on a static analysis; generating a first feature vector based on a set of characters extracted from the set of source code files; generating a second feature vector based on a set of tokens extracted from the set of source code files; and performing an ensemble of the first feature vector and the second feature vector to form a target feature vector for classifying malicious source code and benign source code based on the static analysis.

Abstract: Systems and methods are disclosed for implementing dual textual/graphical programming interfaces for programming streaming data processing pipelines. A user interface is provided that enables a user to author a processing pipeline as a query in a query language, and to request conversion of that query language into a graph data structure representation of the pipeline, which can be visualized in the interface. The interface further enables modification of the graph via interaction with the visualization. On request, the modified graph can be converted back into the query language, with the querying being modified to reflect the modifications to the graph.

Abstract: A system includes one or more processors in communication with a memory and configured to receive a task to probe a portion of the memory associated with a version of a binary file during execution of the binary file. The task includes a portion of object code and a hash identifier, both associated with the version of the binary file. A database mapping hash identifiers to debug information associated with installed binary files is accessed. Debug information for the version of the binary file associated with the hash identifier is retrieved. A probing application is built using the debug information and the portion of object code. Upon execution of the version of the binary file, the probing application places the object code into the portion of the memory.

Abstract: A method, apparatus, electronic device, storage medium and program product of code management are provided. In response to a request for building an executable file, corresponding developed code is obtained from a code library. The developed code is compiled into intermediate code to determine security of the intermediate code. In response to determining that the intermediate code is secure, an executable file is generated based on the intermediate code.

Abstract: Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.

Abstract: A method is provided for determining an installation location. The method includes: providing a machine-readable description of the application to be installed; enhancing the machine-readable description with further requirements and/or properties; linking the application to be installed with an object identifier which includes the enhanced description and the requirements and/or properties of the application to be installed; linking objects existing in the distributed network environment with, in each case, at least one further object identifier which describes at least one property of an object; storing the object identifiers of the application to be installed and of the objects in the distributed network environment in a database; receiving a query regarding the application to be installed; providing the stored object identifiers of the application to be installed and of the objects for an evaluation unit; and receiving a determined appropriate installation location from the evaluation unit.

Abstract: An example recommendation device can include a memory resource storing instructions executable by a processing resource to: determine dependencies of a hardware topology, determine properties of an upgrade to be performed on the hardware topology, compare the properties of the upgrade to the determined dependencies of the hardware topology to identify potential events, and generate a recommendation for deploying the upgrade on the hardware topology based on the comparison.

Abstract: A system for conducting user interface (UI) software component testing has been developed. The test of the UI software component is initiated and a display of the test results are shown to a user in a browser used in the testing. A code editor used for debugging by the user receives the test results from the browser and presents the test results to the user for debugging. The browser webview and the code editor are simultaneously displayed to the user in a dual screencast window during the UI software testing.

Abstract: In some implementations, a system may receive, from a software repository, a difference file indicating changes, to software code, that was submitted to the software repository. The system may parse the difference file to determine files, associated with the software code, affected by the changes and to determine content associated with the changes. The system may apply rules, from a rule dictionary, based on comparing identifiers, associated with the files, with identifiers included in the rules and based on comparing the content, associated with the changes, with content included in the rules. The system may generate software review checklist items based on applying the rules and output the software review checklist items for display. The system may receive, based on input from a user, confirmation of the changes and commit the changes to the software repository based on the confirmation.

Abstract: Providing code editor documentation pages using a lightweight text formatting language and platform-agnostic command links is disclosed. A code editor may provide a documentation code editor extension that enables developers to provide documentation pages that are defined using a lightweight text formatting language, and that include platform-agnostic command links. When selected by a user, the platform-agnostic command links are parsed by the documentation code editor extension, which then initiates execution of a corresponding command using an application programming interface (API) of the code editor. The platform-agnostic command link may comprise a scheme identifier and one or more attribute-value pairs used to specify a command, a project file path, a source file path, an extension file path, a completion message, an error message, a command text input, and/or a user-provided text input. In this manner, interactive documentation pages may provide command links across multiple platforms.

Abstract: The present system is a software defined manufacturing (SDM) system that integrates several technologies and methods into a system that automates the process of engineering and operating automated manufacturing systems (aka “automating automation”). In one embodiment, some or all of the below aspects of the “automating automation” system are integrated: modular, configurable, reusable manufacturing cells; computer vision systems; autocalibration systems; a recipe-based programming environment; configuration management system; production analytics; and a marketplace for sharing recipes.

Abstract: A vehicle control system includes a plurality of devices, a first device included in the devices including: a storage configured to store consistency information including a permitted combination of versions of software installed on each of one or more devices in association with each of the control functions; a determination unit configured to determine whether the consistency information consistent with versions of software installed on a part of the devices exists when consistency does not exist in the versions of all software installed on each of the devices; and a performance control unit configured to permit performance of a part of control functions associated with the consistency information consistent with the versions of software installed on the part of the devices when the consistency information consistent with the versions of software installed on the part of the devices exists.