Abstract: A neural transformer model with attention is trained to predict candidates to complete a line of source code with a zero-inference capability. The model is trained on an unsupervised training dataset that includes features from source code written in multiple programming languages. The features include a file-level context and a local context, where the file-level context includes a global context, a class context, a function context, and/or a method context for each class, function and/or method of the source code programs used in the training dataset. The local context includes method bodies, function bodies, and/or stand-alone code of main method routines. From these features, the model is able to learn to predict an ordered sequence of code elements that complete a line of source code in a programming language seen and not seen during training.

Abstract: Disclosed are systems and methods for efficiently processing artificial intelligence networks. In some embodiments, a just-in-time (JIT) compiler can determine an efficient input data format for a second kernel or microkernel, which is to digest the output of a first kernel or microkernel. The JIT compiler can generate the first kernel or microkernel with an embedded postprocessor, which can dynamically generate a data structure in the efficient data format as the first kernel or microkernel generates its output. The embedded postprocessor can receive the output stream of the first kernel, individually or in portions and can dynamically populate a data structure in the determined efficient data format to be digested by the second kernel or microkernel.

Abstract: The present invention relates to a method of converting logic written in software code into text, comprising: converting the code to a structured format that represents the logic described in each function of said code as a tree of elements, and mapping the elements of the structured format into corresponding counterparts in a target language for obtaining a text translation of the structured format.

Abstract: A method for verifying an operating software block. The operating software block to be verified is defined based on an operating software. Function inputs and outputs corresponding to the operating software block are ascertained. A multi-dimensional parameter space is defined, each dimension of which corresponding to a function input of the operating software block. Input data tuples are formed based on predetermined rules, which correspond to points within specifiable limits of the parameter space. The operating software block is executed using the input data tuples in order to obtain output data, so that for every function output a dependency on the input data of the function inputs is ascertained. The dependency of the function outputs is compared with a specified standard dependency. A reaction is initiated based on a deviation between the dependency of a function output and the standard dependency.

Abstract: A system and method to translate source code in a source language executable in a source computing system to a target language executable in a target computing system. Source code in the source language is parsed to generate a corresponding parse tree containing at least one tree node and at least one leaf. During traversal of the parse tree, at least one mutation script is applied. The mutation script directs at least one of: generating a stream expression comprising at least one token corresponding to values of the at least one node and the at least one leaf of the parse tree; and formulating at least one text output containing a text pattern specified in the mutation script and/or values of the at least one token. Source code in the target language is outputted based on the at least one text output.

Abstract: A method of ranking a plurality of parts of a software code is disclosed for identification of one or more candidate parts of the software code for alteration. The software code is associated with a change history register indicative of previous alterations of the parts of the software code. The method includes (for each of the plurality of parts of the software code) determining a plurality of constituent metrics of the part of the software code by parsing the change history register and the software code determining an alteration recency metric for the part of the software code based on the time indications of the change history register, and scaling one or more of the constituent metrics based on the alteration recency metric.

Abstract: Described are techniques for code review using Quantitative Linguistics (QL). The techniques include comparing received code to one or more repositories of code and identifying one or more portions of rare code in the received code that satisfy a rarity threshold relative to the one or more repositories of code. The techniques further include generating annotated code by annotating the received code at the one or more portions of rare code and transmitting the annotated code to a testing platform.

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: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for test cycle optimization using contextual association mapping. In one aspect, a method includes obtaining an artifact that includes a collection of reference items, where each reference item includes a sequence of words, generating candidate tags from each of the reference items based on the sequences of words in the reference items, selecting a subset of the candidate tags as context tags based on an amount that the candidate tags appear in the reference items, obtaining a sample item that includes a sequence of words, identifying a subset of the context tags in the sequence of words in the sample item, and classifying a subset of the reference items as contextually similar to the sample item based the context tags that were identified.

Abstract: The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.

Abstract: A method for editing continual vertical line of visual programming language includes following steps: entering an editing mode; selecting a source node as a current node from a serial-parallel graphic where the source node is an endpoint of one of a plurality of normal blocks in the graphic; calculating and displaying one or more candidate nodes around current node; connecting the current node to any one of the candidate nodes for converting the connected candidate node into a connected node; setting the connected node as the current node for continually calculating, displaying, connecting to one or more candidate nodes before exiting the editing mode; generating a continual vertical line according to the source node and the one or more connected nodes when exiting the editing mode; modifying the serial-parallel relationship among the plurality of normal blocks in the graphic and updating the graphic according to the continual vertical line.

Abstract: A computer-readable recording medium having stored therein a warning matching program for causing a computer to execute a process including: determining whether or not a pre-modification location where a pre-modification warning is output by a static analysis tool in a pre-modification source code and a post-modification location where a post-modification warning is output by the static analysis tool in a post-modification source code are used in same processing; and associating the pre-modification warning with the post-modification warning based on a result of determining whether or not the pre-modification location and the post-modification location are used in the same processing.

Abstract: Methods, apparatuses, systems, computing entities, and/or the like are provided. An example method may include retrieving software development data associated with a software application; receiving modular configuration data from a client system; determining application usage data based at least in part on a user profile of the client system that is associated with the software application; generating a release note data object based at least in part on at least one of the software development data, the modular configuration data, and the application usage data; and performing one or more software application release operations by transmitting the release note data object to the client system.

Abstract: Disclosed are various embodiments for self-service integration and feature testing. In one embodiment, a test mode service receives a request to test an integration of a third-party system with a production system. The test mode service enables at least one plugin to test at least one function of the production system. The test mode service executes at least one function using the plugin(s) and data provided by the integration of the third-party system. The test mode service then reports a result of how the production system performs the function(s) associated with the plugin(s) using test data.

Abstract: Disclosed are various embodiments for the refactoring of local calls to network calls during software modernization. First and second application components are identified based on analysis of a computing application. A local call from the first application component to a process of the second application component is identified, and an independently deployable microservice is created from the computing application. The independently deployable subunit comprises the second application component having a network endpoint. The independently deployable microservice is deployed such that the process is accessible to the first application component via the network endpoint. The local call is programmatically refactored into a network call from the first application component to the process of the second application component.

Abstract: A computer-implemented method comprising obtaining a first candidate test associated with a testable component, wherein the first candidate test comprises an input having an input value; generating a second candidate test associated with the testable component by performing a dynamic mutation-based fuzzing of the first candidate test, wherein the second candidate test is based on the first candidate test and comprises a modified input value for the input based on data generated during an execution of the first candidate test or domain knowledge associated with the testable component; and creating a test for the testable component based on the first candidate test or the second candidate test.

Abstract: Systems and methods of computer program code or business process design pattern recognition are provided. In embodiments, a method includes identifying, by the computing device, predefined elements and relationships between the elements in a digital industry product based on stored rules; generating, by the computing device, a diagram based on stored image rules, the diagram including graphical notations and text-based information representing the elements and the relationships between the elements; removing, by the computing device, the text-based information from the diagram to produce a modified diagram; and determining, by the computing device, that the modified diagram includes at least one predetermined pattern from a plurality of stored patterns using image object detection.

Abstract: Aspects of updating or upgrading a management system for a virtualized computing environment are described. In some aspects, a virtualization management system that manages a virtualized computing environment can be upgraded or updated with limited downtime of the system by deploying a new instance of the system and subsequently assigning a network address of the previous instance to the new instance once it is deployed in the environment.

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.