The disclosure relates to a computer program product and a method of using the same computer program product to add, compartmentalize and integrate a segment of code assigning to a previously absent function to be selectable across wider platform of main code. The disclosure also relates to methods of selecting and activating functions of a vehicle, such as a modular truck.

Systems, apparatuses, methods, and computer program products are disclosed for automatically deriving data transformation criteria. An example method includes receiving, by communications circuitry, a source dataset and a target dataset and identifying, by a model generator, a target variable. The example method further includes training, by the model generator, a decision tree for the target variable using the source dataset and the target dataset such that the trained decision tree can predict a value for the target variable from new source data. The example method further includes deriving, by a derivation engine, a set of parameters and pseudocode for producing the target variable from the source dataset.

A method includes determining, by a computing device, a programming language of a running workload; selecting, by the computing device, a profiler module in view of the programming language; determining, by the computing device, characteristics of the running workload using the profiler module; identifying, by the computing device, a persona of the running workload from the characteristics; identifying, by the computing device, orchestration policies which map to the persona; tuning, by the computing device, a container orchestrator module in view of the orchestration policies; and deploying, by the computing device, containers to the running workload using the tuned container orchestrator module.

A system for facilitating analysis of a software product is provided. The system includes processing circuitry that collects data logs from various technologies associated with at least one stage of a software development life cycle (SDLC) of the software product. The processing circuitry identifies entities associated with each collected data log, and standardizes the collected data logs such that each collected data log is standardized based on standard data formats associated with the identified entities. Each entity corresponds to at least one stage of the SDLC of the software product. Further, the processing circuitry updates data models associated with the entities based on the standardized data logs and generates a unified data model that is indicative of a correlation between the entities. Based on the correlation indicated by the unified data model, the processing circuitry executes an automated action.

Provided is a specification document creation system including a first computer and a second computer, wherein the first computer is configured to generate, based on configuration information, display data for displaying a first display item, which is determined by the configuration information, of a BIOS on a display device, the configuration information indicating a hardware configuration of the first computer, and analyze the display data to generate first information including the first display item included in the display data, and the second computer is configured to analyze a source code of the BIOS to generate second information including a second display item, which is determined independently of the hardware configuration of the first computer, of the BIOS, and create a specification document for the BIOS in which the first display item included in the first information and the second display item included in the second information are described.

There is provided an information processing device which efficiently executes machine learning. The information processing device according to one embodiment includes: an obtaining unit which obtains a source code including a code which defines Forward processing of each layer constituting a neural network; a storage unit which stores an association relationship between each Forward processing and Backward processing associated with each Forward processing; and an executing unit which successively executes each code included in the source code, and which calculates an output value of the Forward processing defined by the code based on an input value at a time of execution of each code, and generates a reference structure for Backward processing in a layer associated with the code based on the association relationship stored in the storage unit.

A method, system and product comprising: obtaining a functional-level representation of a quantum circuit that comprises a functional block, wherein the functional block defines an operation of the quantum circuit over at least two cycles; selecting from a function library an implementation for the functional block, wherein the function library comprises a plurality of alternative implementations of the functional block, wherein each implementation of the plurality of alternative implementations is configured to provide a same functionality of the functional block and is applicable to a quantum computer to be used for executing the quantum circuit; and generating a gate-level representation of the quantum circuit that comprises the implementation for the functional block.

Apparatuses, systems, and techniques to modify one or more portions of incomplete graph code. In at least one embodiment, one or more portions of incomplete graph code are modified based on, for example, CUDA or other parallel computing platform code.

A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by identifying a first code snippet and a first library function which generate similar outputs from a shared input by parsing each and every line of code in a candidate code snippet to generate a templatized code snippet data structure for the first code snippet, and then testing the templatized code snippet data structure against extracted library function information to check for similarity of outputs between the first code snippet and the first library function in response to a shared input so that the developer is presented with a library function recommendation which includes the first code snippet, the first library function, and instructions for replacing the first code snippet with the first library function.

The type system of a functional programming language, such as DataWeave and/or the like, may be extended to add valuable semantic information to data types (e.g., attributes of data that inform a compiler/interpreter how the data should be used, etc.) that is automatically generated and/or hidden from a developer/programmer. For example, the type system may be configured for flow typing, based on a graph of type dependencies between expressions, without modifying an existing implementation, except at places where extra information can be obtained. Different parts of the type system implementation may be modified, for example, based on one or more injected retyper nodes, to provide more and better type inference.