Abstract: According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor, may cause the processor to receive information regarding a performance characteristic of an application during predetermined time periods. The processor may calculate a rate of change in the performance characteristic over the predetermined time periods. Based on a determination that the performance characteristic of the application has changed over the predetermined time periods, the processor may tune values of a set of parameters for the application based on the calculated rate of change in the performance characteristic.

Abstract: A computer-implemented method includes dynamically generating a sub-operator bundle based on a template. The method further includes converting, by a processing device using a sub-operator registry server, the sub-operator bundle into a sub-operator. The method further includes providing, by the processing device using the sub-operator registry server, the sub-operator to a catalog.

Abstract: A method for adjusting the resource allocation ratio between microservices used to run an application. A microservice test sequence is defined which has an order that follows the traffic flow through the microservices. Each microservice is analyzed in order of the test sequence to classify whether or not it is acting as a bottleneck for the application. This is done by measuring whether or not decrementing the microservice's resource causes the application throughput to decrease. For each microservice classified as a bottleneck and in reverse order of the test sequence, its resource is successively incremented until the application throughput starts to increase, indicating it is no longer acting as a bottleneck. The resource allocation ratio can then be adjusted to reflect this procedure.

Abstract: A computer-implemented method related to dynamic resource provisioning, includes: receiving, at a computer, a request to facilitate a testing environment, where the request specifies a number and type of resources to be included in the testing environment. A database which lists available resources in systems and/or devices that are in communication with the computer is inspected and the available resources are compared to the number and type of resources specified in the request to be included in the testing environment. In response to determining that a valid combination of the available resources meets the number and type of resources specified in the request to be included in the testing environment, the database is updated to indicate that each of the resources in the valid combination are in use. Moreover, the request is satisfied by returning information about the resources in the valid combination.

Abstract: In some implementations, an analytics platform may process a data lineage configuration to identify one or more data sources storing one or more data sets associated with a data analytics use case and identify one or more data relations associated with the one or more data sets. The analytics platform may parse a source code template defining one or more functions to build a data mart and a data pipeline that enables the data analytics use case. The source code template may include one or more tokens to specify elements that define the one or more data sources, data sets, and data relations identified in the data lineage configuration. The analytics platform may automatically generate source code that is executable to build a data mart and a data pipeline to enable the data analytics use case based on the data lineage configuration and the source code template.

Abstract: Disclosed is a computer implemented method for automatically connecting multiple components of a microservice architecture, comprising receiving a definition of a primary resource to be provided by a provider; determining a dependent resource of the primary resource based on the definition of the primary resource; requesting the primary resource to determine one or more shapes of the primary resource, wherein a shape is information about the primary resource that is necessary for the dependent resource to depend on the primary resource; receiving the one or more shapes of the primary resource; providing the one or more shapes of the primary resource to the dependent resource; and determining a provisioning object based on the one or more shapes of the primary resource, wherein, in use, the provisioning object can be used by a provisioning controller to provision the resource by the provider.

Abstract: A method to transfer an artificial intelligence (AI) model includes identifying a plurality of layers of the AI model, the plurality of layers organized in a first ordered list. The method further includes randomizing the plurality of layers by reorganizing the first ordered list into a second ordered list, and transferring the plurality of layers of the AI model to a data processing accelerator in an order defined by the second ordered list.

Abstract: Usage data is collected that indicates which code packages are used during a given session. A correlation between the code packages is generated based on the usage data. The code packages are bundled based upon the correlation so that code packages that are normally used together are bundled together. When a request is received, the bundle to which the request belongs is downloaded.

Abstract: In some examples, software CoBot engineering, execution, and monitoring may include extracting a CoBot requirement from a requirement specification for a CoBot that is to be implemented. Based on application of a CoBot description language to the CoBot requirement, a CoBot workflow that specifies a plurality of tasks to be performed by the CoBot may be generated. A determination may be made as to whether a task is to be performed by a bot or by a human. A team that includes a plurality of bots and at least one human may be generated to execute the CoBot workflow. The bots of the team may be prioritized to identify a bot that is a best match to the CoBot requirement. The CoBot that includes configured bots may be deployed in an operational environment to perform the CoBot workflow.

Abstract: Abstract interpretation based static analysis tools use relational/non-relational abstract domains to verify program properties. Precision and scalability of analysis vary basis usage of abstract domains. K-limited path-sensitive interval domain is an abstract domain that was conventionally proposed for analysis on industry strength programs. The domain maintains variables' intervals along a configurable K subsets of paths at each program point, which implicitly provides co-relation among variables. When the number of paths at the join point exceeds K, set of paths are partitioned into K subsets, arbitrarily, which results in loss of precision required to verify program properties. To address the above problem, embodiments of the present disclosure provide selective merging of paths in such a way that the intervals computed help verifying more properties.

Abstract: Concepts for synchronising and maintaining audited code and toolchain access in a modern software development pipeline are presented. In particular, by leveraging software bots (also known as software development bots) to monitor changes in a development team's preferred access control mechanism, such changes in the preferred state can be stored as preferred/target configuration in a source controlled repository. Further, the same (or other) software bots may be used to monitor for configuration drift between the source-controlled system and the preferred/target configuration stored in the repository and eliminate drifts automatically if possible or alert interested parties about those drifts.

Abstract: A first sample acquisition unit acquires a parameter sample from a prior distribution. A function execution unit acquires data from a distribution by supplying the sample to a function. A degree-of-similarity calculation unit calculates the degree of similarity between the data and correct data using a kernel function. A kernel mean construction unit constructs a kernel mean of a posterior distribution from the degree of similarity, the sample, and the kernel function. A second sample acquisition unit acquires a new parameter sample from the kernel mean and the kernel function. A sample evaluation unit determines whether the difference between new data obtained by supplying one sample selected from the new samples to the function and the correct data is less than a prescribed threshold value. When it is determined that the difference is less than the prescribed threshold value, the sample evaluation unit estimates the selected sample as a parameter.

Abstract: A computer generates a profile, where the profile comprises one or more programs to monitor. The computer determines a baseline for each of the one or more programs by collecting one or more values associated with a normal operation for each of the one or more programs. The computer detects an anomaly based on deviation of the one or more values from the normal operation. Based on identifying a playbook for the anomaly, the computer applies the playbook on the program from the one or more programs. The computer organizes chat services based on identifying one or more members associated with the anomaly.

Abstract: A program update system includes a vehicle including a plurality of in-vehicle devices, and a server provided outside the vehicle. Each of the in-vehicle devices of the vehicle includes a storage unit configured to store one or more programs, an in-vehicle device communication unit configured to perform communication with the server, and an update execution unit configured to update the programs stored in the storage unit. The server includes a server communication unit configured to perform communication with each of the in-vehicle devices, and an update management unit configured to specify the in-vehicle device to be updated in a set of the in-vehicle devices and a program to be updated and execute update processing that makes the server communication unit transmit update data for updating the program to be updated to the in-vehicle device to be updated.

Abstract: A system and method for identifying the paths or connections (i.e., term lineage) through which the values of business terms move or flow through a single software application. The term lineage identification system and method identifies the business terms from a data model extracted from source code, and then generates an enriched architecture diagram therefrom. The operator then selects one or more business terms that form part of a term lineage project, and then the system, based on the selection, generates or creates a term lineage diagram so as to discover and view the term lineage of the selected business terms.

Abstract: Automatic workflow generation is described. One or more files containing code statements for accessing and modifying information in a destination database is received. The code statements are parsed from the one or more files and dependencies between the code statements are determined. A dependency graph is built by arranging the code statements according to the dependencies between the code statements. The dependency graph is partitioned by identifying at least one barrier code statement having an unclear dependency and dividing the dependency graph between code statements occurring prior to the at least one barrier code statement and code statements occurring after the at least one barrier code statement. Jobs are scheduled based on the partitioned dependency graph, and the code statements are annotated according to the scheduled jobs. A workflow is then automatically generated based on the annotated code statements.

Abstract: Described herein are systems and methods for suppressing inbound payload to an integration flow of an orchestration based application integration. The systems and methods described herein can, based upon a scan of an integration, identify and exclude from memory certain portions of one or more payloads that are received at the integration flow.

Abstract: An industrial integrated development environment (IDE) provides a development framework for designing, programming, and configuring multiple aspects of an industrial automation system using a common design environment and data model. Projects creating using embodiments of the IDE system can be built on an object-based model rather than, or in addition to, a tag-based architecture. To this end, the IDE system can support the use of automation objects that serve as building blocks for this object-based development structure. Project data models defining collections of automation objects and their functional relationships can be stored in a model library for selective inclusion in system projects.

Abstract: A system for distributed computing allows researchers performing analysis on data having legal or policy restrictions on movement of the data to perform the analysis on data at multiple sites without exporting the restricted data from each site. A primary system determines which sites contain the data to be executed by a compute job and sends the compute job to the associated site. Resulting calculated data can be exported to a primary collecting and recording system. The system allows the rapid development of analysis code for the compute jobs that can be executed on a local data set then passed to the primary system for distributed machine learning on the multiple sites without any changes to the code of the compute job.

Abstract: A compiler includes a front-end module, an optimization module, and a back-end module. The front-end module pre-processes a source code to generate an intermediate code. The optimization module optimizes the intermediate code. The back-end module translates the optimized intermediate code to generate a machine code. Optimization includes translating a branch instruction in the intermediate code into performing the following operations: establishing a post dominator tree for the branch instruction to find an immediate post dominator of the branch instruction as a reconverge point of a first path and a second path of the branch instruction; inserting a specific instruction at the front end of the reconverge point, so as to jumping to execute the instructions of the second path on the condition that once the specific instruction on the first path is executed.