Abstract: A system and a method for application transformation to cloud by conversion of an application source code to a cloud native code is provided. A first and a second transformation recommendation path is received and a set of remediation templates are applied based on the first and the second transformation recommendation paths where the set of remediation steps comprises pre-defined parameterized actions. The system comprises a microservices unit configured to optimize assessment and implementation of microservices code for multiple target cloud platforms by determining count of microservices anti-patterns in microservices code, wherein the anti-patterns represent a pattern of the microservices code and ascertaining current state of the microservices code by determining a maturity score. A set of repeatable steps associated with microservices code development are provided in bundled form for accelerated implementation of changes in the microservices code for deployment on the multiple target cloud platforms.

Abstract: A transfer learning system is used for the development of neural transformer models pertaining to software engineering tasks. The transfer learning system trains source code domain neural transformer models with attention in various configurations on a large corpus of unsupervised training dataset of source code programs and/or source code-related natural language text. A web service provides the trained models for use in developing a model that may be fine-tuned on a supervised training dataset associated with a software engineering task thereby generating a tool to perform the software engineering task.

Abstract: The invention provides a system, a method and a computer program product that facilitate access to one or more applications by a computing device. The invention includes determining one or more contexts associated with at least one of the computing device and a user of the computing device, such that the one or more contexts describe at least one of an environment and an activity of the at least one of the user and the computing device. Thereafter at least one contextual tag corresponding to the one or more contexts is generated. Subsequently, the one or more applications associated with the at least one contextual tag are identified and the computing device is enabled to access the one or more applications.

Abstract: In a computer-implemented method for automatically presenting a visualization of information within a terminal for interfacing with a distributed version control system, an input is received at a command line interface of a terminal for interfacing with a distributed version control system, the input including an operation to be performed by the distributed version control system. The operation to be performed by the distributed version control system is identified based on the input. The operation is executed to generate output of the operation. The output is displayed within the command line interface. A graphical visualization of the output is automatically displayed within a visualization pane of the terminal, wherein the graphical visualization is interactive.

Abstract: Systems and methods may be provided for generating applications that may be agile, personalized, quickly delivered, and capable of being seamlessly integrated across an organization. The behavior and functionality of the applications (e.g., user interfaces therein) may be tailored specifically to individual users in response to learned user preferences. Consequently, these dynamic user experience (UX) applications may be rapidly deployed and capable of providing a satisfactory yet complete user experience across one or more applications. The methods and systems may include receiving a user objective, selecting a path associated with one or more steps, generating a dynamic UX application based on the steps, transmitting the dynamic UX application to the user, and displaying the dynamic UX application.

Abstract: A computer-implemented runtime system is operable of providing a continuous product execution runtime environment for an application via a healthcare network. The system includes a focus machine and an action plan repository, to provide an autonomous runtime environment by at least: monitoring a running use case of at least one application on at least one device; taking over responsibility of a running use case of the at least one application, upon an error state being detected for the monitored running use case; analyzing the error state of the running use case detected; obtaining at least one suitable substitution action out of a plurality of actions deposited in the action plan repository, based on the error state of the running use case analyzed; and terminating and completing at least a part of the running use case, by employing the at least one substitution actions obtained, on the at least one application.

Abstract: A method, computer program product, and/or system is disclosed for identifying special cases for testing an integrated circuit that includes defining interesting cases, preferably by a user; obtaining an instruction from an instruction set architecture (ISA); determining that there is an interesting case for the obtained instruction; computing (i) a size of the input space (I0) of the ISA, and (ii) an interesting case space (Ii) which is an input space leading to the interesting case for the obtained instruction; obtaining a special case fraction by dividing the interesting case space (Ii) by the input space (I0); determining a special case fraction (Ii)/(I0) is less than a threshold; and identifying, in response to the special case fraction being less than the threshold, the interesting case as a special case. In an approach the special case is documented.

Abstract: A method for the sonification of continuous integration data to audibly represent the health/behavior of builds. The method includes receiving, by a processor, from a build server, continuous integration data for a build job in the continuous integration environment. The method also includes converting, by the processor, the continuous integration data into sonification data. The method further includes applying at least one of toccata, legato, or arpeggio to the sonification data. The method includes generating an audio file from the sonification data; and publishing and/or storing the generated audio file for end users. In some embodiments, the method also includes combining, by the processor, different sets of sonification data, wherein each set of sonification data is associated with a different build job, and wherein each set of sonification data is represented by a different instrument of a plurality of instruments.

Abstract: A method includes monitoring a job being executed at the source mainframe. A job comprises multiple tasks. A method includes monitoring a particular task of the multiple tasks being executed at a source mainframe and determining an application required to execute the particular task. In response to determining that the particular task requires an application to execute, determining a target mainframe where the application is installed. A method further includes validating the environment of the target mainframe to confirm that the particular task can be executed using the target mainframe, and upon validating the target mainframe, redirecting the particular task to the target mainframe for execution. A method also includes monitoring the particular task being executed at the target mainframe and returning the results of the particular task from the target mainframe to the source mainframe.

Abstract: A technique for deploying an experimental version of a webpage includes using a mimic component to emulate functionality of a corresponding hidden UI component. The technique provides for receiving user input at the mimic component and, in response to the user input, executing a functional code block that bidirectionally communicates with an underlying platform code to update state data of the hidden UI component. The technique further provides for detecting, at the mimic component, an update to the state data of the hidden UI component, in response to the detection, updating state data of the mimic component based on the updated state data of the hidden UI component.

Abstract: Systems and techniques are described to allow an ADP to be dynamically updated to provide backward compatibility with existing functions in a manner that both intuitive to user experience and provides advantages to the way in which computing systems implement updates to ensure that users with limited technical expertise can update applications. In some implementations, data indicating a first version of a function to be executed by applications developed on a post-update application development platform is obtained. A second version of the function that is associated with a pre-update application development platform is identified. An association between the first version of the function and the second version of the function is generated. A determination that an application developed using the pre-update application development platform is associated with the second version of the function is made.

Abstract: Systems, devices, computer-implemented methods, and tangible non-transitory computer readable media for performing multilayered generation and processing of computer instructions are provided. For example, a computing device may receive a request with instructions in a first computer language, parse the instructions in the first computer language, analyze the instructions in the first computer language in view of information describing structure of a first application, generate instructions in a second computer language different from the first computer language where the instructions in the second computer language are generated based on the instructions in the first computer language and the information describing structure of the first application, obtain a result from a second application where the result comprises information based on the instructions in the second computing language, and provide the result in response to the request comprising the instructions in the first computer language.

Abstract: Database systems and methods are provided for identifying a change associated with an update to executable code resulting in test failure. One method involves calculating risk scores for different changes associated with the update based on change characteristics associated with the respective changes, identifying a change from among the different changes associated with the update based on the risk scores associated with the respective changes, generating a modified update to the executable code that includes the identified change and excludes remaining changes of the update from the modified update, and initiate execution of one or more tests with respect to a compiled version of the modified update to the executable code. When execution of the one or more tests against the modified update results in a test failure, the change is identified as a potential root cause of the test failure associated with the update.

Abstract: An automated video game testing framework and method includes communicatively coupling an application programming interface (API) to an agent in a video game, where the video game includes a plurality of in-game objects that are native to the video game. The agent is managed as an in-game object of the video game. A test script is executed to control the agent, via the API, to induce gameplay and interrogate one or more target objects selected from the plurality of in-game objects native to the video game. Video game data indicating a behavior of the one or more target objects during the gameplay is received. Based on the received video game data, performance of the video game is evaluated.

Abstract: Described are techniques for testing robotic process automation (RPA) bots. The techniques including a system comprising a computational environment configured to present a graphical user interface (GUI) on a display. The system further comprises an application configured to run on the computational environment. The system further comprises a robotic process automation (RPA) bot configured to execute tasks on the application using the GUI. The system further comprises an autonomous robot tester (ART) bot configured to execute a plurality of tests to disrupt the RPA bot by manipulating the GUI.

Abstract: Embodiments validate representational state transfer (“REST”) application program interfaces (“API”). Embodiments receive a REST API specification that provides information for a plurality of REST APIs and parse the REST API specification to extract, for each REST API, a corresponding Uniform Resource Locator (“URL”), and corresponding parameter names response codes and payloads. Embodiments convert the parsed REST API specification into a converted text file, the converting including parameter constraints and parameter default values. Embodiments then generate all possible combinations of test data for each REST API from the converted text file and perform one or more test operations on each of the combinations of test data.

Abstract: Techniques are disclosed relating to the execution of queries in an online manner. For example, in some embodiments, a server system may include a distributed computing system that, in turn, includes a distributed storage system operable to store transaction data associated with a plurality of users, and a distributed computing engine operable to perform distributed processing jobs based on the transaction data. In various embodiments, the server system preemptively creates a compute session on the distributed computing engine, where the compute session provides access to various functionalities of the distributed computing engine. The distributed computing engine may then use these preemptively created compute sessions to execute queries (e.g., for end users of the server system) against the transaction data and return the results dataset to the requesting users in an online manner.

Abstract: A code completion tool uses a neural transformer model to generate candidate sequences to complete a line of source code. The neural transformer model is trained using a conditional language modeling objective on a large unsupervised dataset that includes source code programs written in several different programming languages. The neural transformer model is used within a beam search that predicts the most likely candidate sequences for a code snippet under development.

Abstract: An automation application is described herein. The automation application executes on a computing device and accesses a macro for a target application. The macro has been generated based upon a sequence of inputs from a user received by the target application that causes the target application to perform an action, screen states of the target application as the target application receives the sequence of inputs from the user, operating system processes that are performed by an operating system as the target application receive the sequence of inputs from the user, and evidence events representing information obtained from the operating system processes. The automation application executes the macro, wherein executing the macro causes the automation application to mimic the sequence of inputs to the target application, thereby causing the target application to perform the action.

Abstract: A processing section executes processes concerning a plurality of applications in a time division manner. A Context Switching Direct Memory Access (CSDMA) engine detects a switching timing of an application to be executed in the processing section. When detecting the switching timing, the CSDMA engine saves a context of an application that is being executed in the processing section 46, to a main memory from the processing section, and installs a context of an application to be subsequently executed in the processing section, from the main memory to the processing section, not through a process by software managing the plurality of applications.