Abstract: Portable packages containing encodings of processes are applied to software stacks. The packages are portable and distinct from the software stacks. The packages may be in the form of declarative code for configuring the software stack and can be plugged into the software stack to allow the technology stack to play the packages, thereby configuring the stacks to be capable of automating the processes encoded by the packages. An application or software component can be provided to read a package and apply parts thereof to appropriate corresponding software stack components.

Abstract: Managing application programming interface (API) execution logging is provided. It is determined whether a log trigger definition corresponding to a log include definition is satisfied. In response to determining that the log trigger definition corresponding to the log include definition is satisfied, an execution log of the API is transferred from memory to a file in a storage device. The execution log of the API and a set of API definitions in the file is analyzed using natural language processing to identify a usability context pattern corresponding to the API. A specific set of API log definitions for the API is recommended based on the identified usability context pattern corresponding to the API.

Abstract: Managing application programming interface (API) execution logging is provided. It is determined whether a log trigger definition corresponding to a log include definition is satisfied. In response to determining that the log trigger definition corresponding to the log include definition is satisfied, an execution log of the API is transferred from memory to a file in a storage device. The execution log of the API and a set of API definitions in the file is analyzed using natural language processing to identify a usability context pattern corresponding to the API. A specific set of API log definitions for the API is recommended based on the identified usability context pattern corresponding to the API.

Abstract: A code entity of an application, for which a differential analysis is to be performed, is identified in a replayable trace of a prior execution of the application. A prior invocations of the code entity are replayed by re-executing executable instructions of the code entity based on the replayable trace. Based on the replay, a families of invocations of the code entity are identified. Each family is defined based upon attributes that identify at least one class of runtime behavior of the code entity that is observed during the replay of the invocations of the code entity. First attributes of a first family that substantially contribute to classifying a first class of invocations of the code entity within the first family are identified, and second attributes of a second family that substantially contribute to classifying a second class of invocations of the code entity within the second family are identified.

Abstract: A system for facilitating introducing artifact information may include a processor configured to: cause a first sequence of artifact information of a first artifact document and a second sequence of artifact information of a second artifact document to be displayed in a GUI; receive a first input through an input device corresponding to a first selection of a first subsequence of the first sequence for introduction into the second sequence; determine an introduction action available for introducing artifact information derived from the selected first subsequence into the second sequence; cause the available introduction action to be displayed in an introduction box in the GUI; receive a second input through the input device corresponding to a second selection of an available introduction action; and create a first amended subsequence of artifact information in the second sequence by introducing the artifact information being derived from the selected first subsequence.

Abstract: In a video image generation device connected to a peripheral device via a video image relay device, a version acquisition unit acquires from the video image relay device information related to version of firmware installed in the video image relay device. If the version of the firmware installed in the video image relay device is older than version of firmware requested by basic software installed in the video image generation device, an update request unit supplies the video image relay device with firmware for the relay device included in the basic software in order to update accordingly the firmware installed in the video image relay device.

Abstract: A parallelization assistant tool system to assist in parallelization of a computer program is disclosed. The system directs the execution of instrumented code of the computer program to collect performance statistics information relating to execution of loops within the computer program. The system provides a user interface for presenting to a programmer the performance statistics information collected for a loop within the computer program so that the programmer can prioritize efforts to parallelize the computer program. The system generates inlined source code of a loop by aggressively inlining functions substantially without regard to compilation performance, execution performance, or both. The system analyzes the inlined source code to determine the data-sharing attributes of the variables of the loop. The system may generate compiler directives to specify the data-sharing attributes of the variables.

Abstract: Methods and systems for testing source code are disclosed. The method includes mounting a shared memory and launching a controller container. The controller container is configured to retrieve a repository identifier of a repository on which the source code is stored, and a build descriptor including build steps and an indicator of a build VM image for generating the build. The method further includes storing the build steps in the shared memory, retrieving the source code from the repository based on the repository identifier, and storing the retrieved source code in the shared memory. The method also includes launching a build container based on the indicator of the build VM image, the build container configured to retrieve the build steps and the source code from the shared memory and perform the build on the source code based on the steps defined in the build steps.

Abstract: An apparatus for performing data processing in a single program multiple data fashion on a target data set is provided, having execution circuitry configured to execute multiple threads, thread schedule configuration storage configured to store information defining a plurality of thread schedule configurations, and thread scheduling circuitry configured to cause the execution circuitry to execute the multiple threads in a selected order defined by a selected thread schedule configuration. A method of operating the apparatus, as well as a method of compiling a source program for the apparatus are also provided.

Abstract: Systems, apparatuses, and methods for a hardware and software system to automatically decompose a program into multiple parallel threads are described. In some embodiments, the systems and apparatuses execute a method of original code decomposition and/or generated thread execution.

Abstract: Adjusting runtime performance includes receiving a first input file of a software application, where the software application utilizes a first software architecture. Embodiments include analyzing the first input file, including identifying dependencies for a secondary platform. Embodiments include identifying dependencies for the first software architecture, and a first set of code transformation rules based on the identified dependencies. Embodiments include generating code, based on the first set of transformation rules, where the runtime profile contains data regarding first characteristics of the first input file, the generated code allowing the first input file to utilize the second software architecture. Embodiments include identifying a second set of code transformation rules based on the identified dependencies.

Abstract: Adjusting runtime performance includes receiving a first input file of a software application, where the software application utilizes a first software architecture. Embodiments include analyzing the first input file, including identifying dependencies for a secondary platform. Embodiments include identifying dependencies for the first software architecture, and a first set of code transformation rules based on the identified dependencies. Embodiments include generating code, based on the first set of transformation rules, where the runtime profile contains data regarding first characteristics of the first input file, the generated code allowing the first input file to utilize the second software architecture. Embodiments include identifying a second set of code transformation rules based on the identified dependencies.

Abstract: Examples relate to selectively testing applications. In one example, a computing device may: receive, from a testing device, a current state of an application under test (AUT); select a user action flow from a plurality of user action flows, each user action flow including a plurality of user actions previously performed on the AUT when the AUT was in a prior state that corresponds to the current state; and provide the selected user action flow to the testing device.

Abstract: The invention relates to a device for integrating software components of a distributed real-time software system, said components being run on target hardware and on a development system, wherein the target hardware comprises computing nodes, and the development system comprises one or more computers. The device is designed as an expanded development system in which the computing nodes of the target hardware are connected to the computers of the development system via one or more time-controlled distributor units, wherein the expanded development system has a sparse global time of known precision, and wherein the computing nodes of the target hardware are connected to the computers of the development system via the one or more time-controlled distributor units such that the data content of a TT message template of a TT platform of the target hardware can be provided both by a simulation process of the development system as well as by an operative process of the target hardware in a timely manner.

Abstract: A system (100) enables installation of a computer program on a (small-memory) device (110). The system comprises the device and a host device (180). The host device is arranged for sending data packets. At least some of the data packets comprise respective portions of the computer program. The device has a program memory (130) for containing the computer program, a boot memory (120) having a boot loader, and a processor (150). The boot loader is also arranged for installing the computer program. The boot loader comprises: detecting a data packet, extracting (a) a portion of the computer program and portion metadata and/or (b) program metadata, determining a memory location in the program memory based on said portion metadata, maintaining progress information representing extracted portions stored in the program memory, and determining completion of storing the collection of portions based on the progress information and the program metadata.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for instrumentation and control of workloads in a massively parallel processing database. Deployment is in a cluster which mirrors the cluster of the database to be controlled. The system includes data publishing modules, action agents, rules processing modules, deployment managers, rule compilation and management tools. Together these provide a distributed, fault tolerant system for the automated rules-based control of work in a database cluster. For example, in deploying an update, a deployment manager pushes the update to one or more nodes and instructs each of the one or more nodes to restart in a bootstrap mode. The deployment manager generates a respective configuration package for each of the one or more nodes, and restarts each of the one or more nodes in a production mode.

Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: A device may receive information that identifies code associated with an application. The device may generate a technical description of the code based on the information that identifies the code associated with the application. The device may generate a set of rules based on the technical description of the code. The set of rules being associated with a semantics of business vocabulary and business rules (SBVR) format. The device may generate a set of microservices based on the set of rules. The device may provide information that identifies the set of microservices to cause an action to be performed.

Abstract: An application programming interface (API) that enables installation of an application as one or more key-value objects on a data storage drive such as a hard disk drive, a solid state drive or a hybrid drive. The API also enables execution of the application within a controlled environment of the data storage drive.

Abstract: Some examples described herein relate to deployment of a plurality of programs on a server in a cloud network. An example method may include using a single deployer agent on a server to deploy the plurality of programs on the server, wherein the plurality of programs are deployed from different sources via same port on the server.