Abstract: An example operation may include one or more of sending, by a master transport, a first portion of a software update to a transport of a first subset of transports, sending, by a master transport, a second portion of the software update to a transport of a further subset of transports, when a first transport of the subset of the transports and a second transport of the further subset of the transports are in proximity, causing the first transport to send the first portion of the software update to the second transport, and causing the second transport to send the second portion of the software update to the first transport.

Abstract: Mapping applications or smart contracts to a data confidence fabric. A smart contract is deployed and executed in a data confidence fabric based on trust requirements of the smart contract. The trust requirements are mapped to the nodes of the data confidence fabric. A ledger is created on the identified nodes and the application is deployed to and run on the identified nodes.

Abstract: A methodology for populating multiple instruction words is provided. The methodology includes: creating a dependency graph of instruction nodes, each instruction node including at least one instruction operation; first assigning a first instruction node to a first instruction word; identifying a dependent instruction node that is directly dependent upon a result of the first instruction node; first determining whether the dependent instruction node requires any input from two or more sources that are outside of a predefined physical range of each other, the range being smaller than the full extent of the data path; and second assigning, in response to satisfaction of at least one predetermined criteria including a negative result of the first determining, the dependent instruction node to the first instruction word.

Abstract: A graphical user interface (GUI) of an application under test (AUT) is rendered. A GUI test object of the AUT is identified within the GUI. Test information regarding the GUI test object of the AUT is retrieved. The GUI test object of the AUT is rendered within the GUI to reflect the test information.

Abstract: An image forming apparatus capable of preventing compatibility with an extension application from being impaired. The image forming apparatus installs an operation program of an extension application therein, and includes a VM (Virtual Machine) that executes a bytecoded program generated based on the operation program. The bytecoded program is generated by converting the operation program to bytecode. The operation program and the bytecoded program are written into a package, and the package is stored in a storage of the image forming apparatus.

Abstract: The present disclosure relates to system(s) and method(s) for decomposing a monolithic application into one or more micro services. The method identifies a subset of functionalities, from a set of functionalities associated with the monolithic application. The method further determines a number of micro services based on a functionality priority, a functionality complexity score, and a functionality predefined complexity score associated with each functionality. Further, the method generates one or more groups of methods from a plurality of methods associated with the subset of functionalities. Further, the method decomposes the monolithic application into the one or more micro services based on the one or more groups of methods, and the number of micro services.

Abstract: The present disclosure provides systems and methods for generating a graph of microservices of a software application. Source code for the application may be parsed using one or more method identifiers to identify a plurality of methods of the software application. Names and path values for the plurality of methods may be stored in a graph database as nodes and edges. The graph database may be queried to determine dependencies of a method, including the microservice that the method belongs to any remote methods called by the method. In addition, properties of the nodes may be transformed into a set of vectors to provide searching of the graph and recommendations.

Abstract: Methods, devices and media for reducing register pressure in flexible vector processors are described. In various embodiments described herein, methods, devices and media are disclosed that selectively re-scalarize vector instructions in a sequence of instructions such that register pressure is reduced and thread level parallelism is increased. A compiler may be used to perform a first method to partially or fully scalarize vectorized instructions of a code region of high register pressure. A compiler may be used to perform a second method to fully scalarize a sequence of vectorized instructions while preserving associations of the scalar instructions with their original vectorized instructions; the scalar instructions may then be scheduled and selectively re-vectorized. Devices executing code compiled with either method are described, as are processor-readable media storing code compiled by either method.

Abstract: Techniques are provided for identifying dependencies among multiple software entities. One exemplary method comprises scanning source code and/or configuration information of a given software entity to extract connection information for connections made by the given software entity with other software entities, wherein at least one connection made by the given software entity is an asynchronous connection that employs asynchronous messaging using an intermediate message broker; resolving at least one uniform resource identifier in the extracted connection information to obtain a corresponding network address; analyzing the source code associated with the asynchronous connection to determine whether the given software entity is a producer or a consumer associated with the asynchronous connection; and generating a dependency graph identifying a plurality of the other software entities that depend on the given software entity.

Abstract: A system for modifying code, said system comprising a code repository for storing code and a first code editor. The first code editor is operable to identify decorator definition code which defines metadata from code stored in the code repository and which comprises a first code component comprising source code annotated by one or more decorators and a second code component comprising the decorator definition code defining the metadata. The first code editor is further operable to present variables associated with the metadata on a user interface, and modify the variables associated with the metadata in accordance with modifications input to the code editor by a user via a user interface.

Abstract: Verifiable test case workflow is provided by creating a secure database for actions taken regarding a source file that is stored on a first computer; creating a test executable from one or more source files and storing it on the first computer; finalizing the source file for test on a second computer different from the first computer; hashing a test environment related to the source file and the second computer; and in response to determining that a version of the test executable provided to the second computer matches a version of the test executable provided to the secure database: executing the test executable on the second computer; hashing test results from testing the source file on the second computer; and adding the test executable as hashed and the test results as hashed to the secure database to actions already stored in the secure database.

Abstract: The present invention relates to a software update agent device and a patching method through the same, and provides a software update agent for patching software program and its related data on a client device such as an autonomous vehicle, a smartphone, and the like, thereby patching the software program used in the client device and its related data easily and quickly, based on the differential data between old and new versions of software data provided from remote software update management server.

Abstract: An analysis of software stored and executing on one or more assets in an enterprise includes determining a hierarchy of nodes in the software and among the assets and analyzing dependencies among those nodes and assets through a static analysis of the software as it is stored as well as through a dynamic analysis of the software as it executes.

Abstract: Techniques to determine a programming language of a set of code based on learned programming language patterns. One technique includes receiving a set of code, generating a pattern map of discovered string patterns from the set of code, comparing the string patterns included within the pattern map against learned programming language patterns included with a master voting map to identify one or more profiled programming languages that utilize the learned programming, language patterns that match the string patterns, generating a score card for the set of code by tallying scores for the one or more profiled programming languages based on the comparing, and determining one or more programming languages used to write the set of code based on the score card.

Abstract: Technologies are provided for automated exploratory testing using machine learning. In response to receiving an identifier for an application to be tested, a machine learning model can be generated that can be used to automate exploratory testing of the application. The machine learning model can be generated based on test scenarios associated with the application and user interface controls of the application. The machine learning model can comprise one or more data structures that model relationships between user interface control values and application functionality defined by the test scenarios. The machine learning model can be used to generate exploratory testing operations targeting the application. In at least some embodiments, the machine learning model comprises an artificial neural network comprising input layer nodes associated with user interface controls and/or hidden layer nodes associated with application test scenarios.

Abstract: Systems and methods for intelligent computation acceleration transform to allow applications to be executed by accelerated processing units such as graphic processing units (GPUs) or field programmable gate arrays (FPGAs) are disclosed. In an embodiment, a computational profile is generated for an application based on execution metrics of the application for the CPU and the accelerated processing unit, and a genetic algorithm (GA) prediction model is applied to predict execution speedup on an accelerated processing unit for the application. In an embodiment, upon identification of speedup, computational steps are arbitrated among various processing units according to compute availability to achieve optimal completion time for the compute job.

Abstract: One or more instances in program code that references an identifier of the standard web object model program object property that is prevented by a web browser from being directly reassigned are identified. The one or more instances in the program code that references the identifier of the standard web object model program object property that is prevented by the web browser from being directly reassigned are modified with one or more corresponding replacement references that include a replacement identifier. The replacement identifier id defined in the program code as being associated with a new program object property defined to invoke the standard web object model program object property in addition to being defined to perform additional processing of a resource identifier associated with the invocation of the standard web object model program object property.

Abstract: Disclosed is a method, a system and a computer readable medium for additive independent object modification. The method includes determining an association between an independent object modification and a base object of a software application, modifying at least one element of the base object based on the associated independent object modification, and configuring the software application to execute in a computer system using the modified base object.

Abstract: A method and a system of selecting test cases from existing test cases for a new software testing requirement are disclosed. In an embodiment, the method may include determining a confidence score associated with each of existing test cases, based on comparing a new software testing requirement with the existing test cases using a Recurrent Neural Network (RNN) model, and selecting a set of test cases from the existing test cases based on the confidence score and a predetermined threshold confidence score. The method may further include predicting a defect slippage rate associated with each test case using a linear regression model, and shortlisting a sub-set of test cases from the set of test cases based on the predicted defect slippage rate associated with each test case and a predetermined threshold defect slippage rate.

Abstract: A method and a device for managing software configurations of equipment of an aircraft, comprising a device for managing software configurations of equipment of the aircraft. The device for managing software configurations of equipment of the aircraft detects the availability of a communication link between a server on the ground and the aircraft, checks whether a configuration file is available and importing the configuration file, imports, from the server on the ground, one or more software updates identified in the configuration file and storage of the software update or updates in a temporary memory space; determines the instant as from which each update can be implemented, and demands the modification of the software configuration of the item or items of equipment with the software update or updates corresponding to the item or items of equipment.