Abstract: A method, a system, and a computer program product for providing one or more checks during execution of queries an application. A query is received for execution by a software application. A just-in-time executable code is generated for execution of the received query. A determination is made that the generated just-in-time executable code is configured to include one or more testing codes for testing the software application. The testing codes are associated with one or more conditions. The generated just-in-time executable code and one or more testing codes are executed. The testing codes are executed upon a determination that one or more conditions are activated.

Abstract: A homomorphic encryption-based testing computing system provides a risk-based, automated, one-directional push of production data through a homomorphic encryption tool and distributes the encrypted data to use in testing of applications. Data elements and test requirements are considered when automatically selecting a homomorphic encryption algorithm. A decisioning component selects an algorithm to use to homomorphically encrypt the data set and a push mechanism performs one or both of the homomorphic encryption and distribution of the encrypted data set to at least one intended host. Once delivered, the testing software and/or testing procedures proceed using the encrypted data set, where results of the testing may be stored in a data store. A validation mechanism may validate the test data against production data and communicates whether testing was successful.

Abstract: A testing system and method for testing application code against various failure scenarios. The testing system and method generate a test workflow including test source code implementing a series of actions that affect an application component and or an infrastructure component included in application code. The testing system and method execute the test workflow to determine the performance of the application code during one or more failure scenarios caused by the series of actions included in the test workflow. Performance data generated by the test code is analyzed by a performance analysis service or method to identify limitations of the application code and build resiliency patterns that address the limitations and improve the performance of the application code.

Abstract: There are provided systems and methods for an automatically managed common asset validation framework for platform-based microservices. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules and/or artificial intelligence models for decision-making from input data including data in a production computing environment. A decision service may normally be used for data processing and decision-making through an execution flow configuration and/or graph identifying a flow of task executions and other computing operations. In this regard, the decision services may share common data assets, such as data tables, shared code for execution of operations and the like. The service provider may utilize an intelligent service to automatically manage and validate these assets between services so that execution errors do not occur when there are changes to these common assets.

Abstract: The present disclosure involves systems, software, and computer implemented methods for executing integration scenario regression tests in customer landscapes. One example method includes identifying a request to create a test case for an integration scenario for a cloud platform customer. The test case is created for the scenario, including enabling the test case to run in an isolated customer environment specific to the customer. An update to the cloud platform is identified. The update is provisionally applied to the cloud platform for the customer. The test case is executed in the isolated customer environment, to test the scenario for the customer. A determination is made as to whether execution of the test case succeeded. In response to determining successful test case execution, the update to the cloud platform is finalized for the customer. In response to determining unsuccessful test case execution, the update is rolled back for the customer.

Abstract: A method for performing a health check of a customized function across multiple cloud/hybrid platforms is disclosed. The method includes submitting a customized function to a health check system, which includes components on both on an on-premise network and a public cloud network. The submitted function is then uploaded to a cloud object storage. The method further includes having the customized function retrieved from the cloud object storage and scheduling an execution of the customized function according to a user defined schedule. Once the customized function is executed, the method further acquires results of the executed function and corresponding metrics and updates a health check metrics table of a metadata database with the acquired results and metrics.

Abstract: Training a predict model with network traffic and data change messages generated by an existing web application running in a production environment. The predict model being is trained to predict data changes resulted from API calls embodied in network traffic. A stream of network traffic of the existing web application is replayed with an upgraded version of the existing web application to generate real data changes. The stream of network traffic is applied to the predict model to generate predicted data change messages. The predicted data change messages are comparing with real data change messages representing the real data changes. One or more existing APIs is identified as being possibly functionally degraded based on any inconsistency of the predicted data change messages with the real data change messages.

Abstract: First images that are screenshots from a first version of a software component are obtained. Second images that are screenshots from a second version are obtained. A collection of image deviations that includes pair-wise image deviations between pairs of images are identified. A pair of images includes a first image from the first images and a corresponding second image from the second images. An image deviation indicates a portion of the second image identified as differing from a spatially corresponding portion of the first image. The image deviations are grouped into deviation groups. At least some of the second images are associated with at least some of the deviation groups. A subset of the second images corresponding to a deviation group is output responsive to a selection of an indication of the deviation group.

Abstract: Embodiments of the present disclosure relate to containerizing the packages of an operating system. More specifically, a dependency level of each of a plurality of packages included in an operating system may be determined and a container is generated in view of the dependency level.

Abstract: Techniques and solutions are provided for grouping of applications, including application content, or other content useable by a computer-implemented process. In particular, a consolidation space is provided as a lightweight mechanism for this purpose. Identifiers are received for multiple landscape elements, where a landscape element can be an application, application content, or other content. A given landscape element has a type and has one or more artifacts. A consolidation space is generated for at least first and second landscape elements having a first type. A consolidation artifact is generated in the consolidation space, where the consolidation artifact references respective first and second instances of a first artifact in the first and second landscape elements.

Abstract: A method for updating an imaging device is described comprising, receiving update information comprising a compatibility update filter indicating which generations of supply item are compatible with the imaging device, and updating a compatibility filter of the imaging device based on the update information, the compatibility filter configured to control which generations of supply item are classified as compatible with the imaging device. An imaging device is also described that comprises firmware and a memory, the memory storing a compatibility filter configured to control which generations of supply item are classified as compatible, wherein the firmware is configured to read the compatibility filter, and the imaging device is configured to update the compatibility filter. Finally, an imaging device supply item is also described.

Abstract: The present disclosure provides new and innovative systems and methods for continuous testing of microservice applications. In an example, a computer-implemented method includes obtaining changes to source code, determining at least one related microservice related to the source code, determining at least one related microservice test related to the at least one microservice, executing automated tests to validate the source code, executing the at least one related microservice test to validate the at least one related microservice, generating test outcome data based on the automated tests and the at least one related microservice test, and providing a notification based on the test outcome data.

Abstract: A system for automatically generating computer-executable code includes a user device including a communications interface, a code generation module, and a data store, and a storage device operatively coupled to the code generation module via a network and the communications interface. The storage device includes a relational database management system. The code generation module is configured to parse a selected feature from the feature library to determine a first helper function of the one or more helper functions and a selected template function of the one or more template functions, receive a first argument for the first helper function, generate a first output value by associating the first helper function with the first argument, generate precursor executable code by adding the first output value to the selected template function as a first argument of the selected template function, and execute the precursor executable code to generate bespoke code.

Abstract: A compiler transforms a high-level program into configuration data for a coarse-grained reconfigurable (CGR) data processor with an array of CGR units. The compiler includes a method that identifies a skip buffer in a dataflow graph, determines limitations associated with the array, and searches for a lowest cost implementation topology and stage depth. At least three topologies are considered, including a cascaded buffer topology, a hybrid buffer topology, and a striped buffer topology. The lowest cost implementation topology and stage depth are based on the size of the buffered data (usually, the size of a tensor), the depth of the skip buffer, and the array's limitations. The hybrid buffer topology includes multiple sections of parallel memory units. The data travels between memory units in one section to adjacent memory units in a next section without intervening reorder buffers.

Abstract: Systems, methods, and other embodiments associated with a technique for using micro frontends to build a runtime version of a base application are described. In one embodiment, the method allows for selected micro frontends to be incorporated into the base application. Metadata corresponding to the selected micro frontend may be used to identify at least one or more application programming interfaces (APIs) that are defined in the metadata. The identified APIs are incorporated with the micro frontends to create a final version of the micro frontend. A runtime version of the base application is constructed, at least in part, by combining the base application with the retrieved micro frontends including the one or more APIs that were identified.

Abstract: A program update system includes a vehicle including a first and second electronic devices, and a program transmission device. The program transmission device is configured to communicate with the vehicle and transmit a program for the first electronic device and a program for the second electronic device to the vehicle. The program transmission device transmits an update program for a first electronic device to a second electronic device. The program transmission device transmits a program in a state before the update for backup. The second electronic device updates the program for the first electronic device based on the update program. The second electronic device stores the program in the state before the update.

Abstract: The present invention relates to a firmware provision apparatus and a provision method therefor. The firmware provision apparatus according to the present invention comprises: a memory that stores firmware data of a specific device; and a processor that divides the firmware data into two or more logical blocks, and generates a firmware image including the logical blocks obtained from the division, wherein the logical blocks include data areas in which the corresponding divided firmware data is stored and buffer areas in which data about changed details of the corresponding divided firmware data is stored.

Abstract: Techniques for application test involve: acquiring a character string in an application interface of a target application; determining a current language corresponding to the character string based at least on a comparison between encoding representation of the character string and a set of predetermined encoding segments, each encoding segment in the set of predetermined encoding segments indicating a corresponding language; and determining a language test result for the character string based on a comparison between the current language and a target language to be presented in the target application, the language test result being used for indicating whether the character string is adapted to the target language. Accordingly, efficient detection on whether a text in the target application is displayed abnormally can be guaranteed.

Abstract: A device may receive a selection of a software product and test input data identifying inputs of a test case for the software product. The device may receive the software product based on the selection of the software product and may generate test data for the test case based on the test input data and the software product. The device may process the test data and the software product, with a machine learning model, to generate a test case plan that includes the test data and test steps and may generate test scripts for the test case plan based on the software product. The device may automatically cause the software product to execute the test scripts to generate test results and may perform one or more actions based on the test results.

Abstract: Aspects of the disclosure relate to computing platforms that implement data driven testing through automation using continuous machine learning combined with continuous integration for development testing. A computing platform may extract production data from user interaction with an application, perform a masking operation on the production data to create modified production data, convert the modified production data into a format suitable for machine learning, and generate one or more independent scenarios using machine learning. The computing platform may automatically trigger execution of test scripts associated with the one or more independent scenarios using the modified production data and receive results of the executed test scripts indicating whether a version of the application performs as expected.