G06F11/3696

METHOD AND APPARATUS FOR IMPLEMENTING AN APPLICATION RELEASE MANAGEMENT MODULE

Various methods, apparatuses/systems, and media for implementing an application release management module are provided. A receiver receives a release branch and a fix version as input in connection with an application. A processor implements a hook with the release branch and the fix version as the input that automatically integrates project tracking systems as part of the deployment pipeline. The hook is configured to automatically trigger the following processes: receive the release branch as the input and connecting to a repository to fetch all project tracking system identifications (IDs) for a commit in connection with the application; connect to corresponding project tracking systems to fetch detail information data for those project tracking systems based the IDs fetched from the repository; and validate for status of the project tracking systems based on scanning and analyzing the fetched detail information data prior to approving the received request for the UAT deployment.

Software-trace message sink peripheral
11520644 · 2022-12-06 · ·

An integrated circuit device has a processor, a software-trace message handling system, a software-trace message sink peripheral, and a hardware interconnect system. The interconnect system is capable of directing software-trace messages from the processor to the software-trace message handling system, and of directing software-trace messages from the processor to the software-trace message sink peripheral. The software-trace message sink peripheral can present an interconnect delay to the processor, when receiving a software-trace message from the processor, that is equal to or substantially equal to an interconnect delay that the software-trace message handling system would have presented to the processor if the software-trace message handling system were to have received the software-trace message.

Systems and methods for automated test data microservices

Systems and methods for automated test data microservices are provided. Test versions of software (such as an Application Programming Interface (API)) may be configured to automatically generate test data and to call a microservice to manage the test data. The microservice may automatically add and remove the test data from an operational data store to facilitate the testing process and to automatically perform setup and teardown stages of the testing process.

METHOD AND SYSTEM FOR MICRO-SERVICE TESTING, AND STORAGE MEDIUM
20220382936 · 2022-12-01 ·

This application relates to a method and system for micro-service testing, and a storage medium. The method for micro-service testing includes: performing simulation on a target micro-service based on machine learning; constructing a corresponding virtual micro-service based on a result of the simulation; initiating an invocation request for the target micro-service; redirecting the invocation request to the virtual micro-service; and returning a test result by the virtual micro-service in response to the invocation request. According to the method for micro-service testing, a virtual micro-service can be constructed by means of machine learning, to participate in testing and development in place of a real micro-service.

Responsible development process and definition of integration patterns and semantics
11593250 · 2023-02-28 · ·

According to some embodiments, methods and systems may be associated with enterprise application integration. A formalization platform may facilitate definition of Enterprise Integration Patterns (“EIP”) using a formal representation and defined execution semantics. The formalization platform may also execute model checking to find errors in the formal representation. An implementation platform may receive information from the correctness platform and translate the formal model generated by the correctness platform. The implementation platform may also configure implementation parameters of the translated formal model and simulate the EIP patterns to provide experimental validation. A correctness platform may receive information from the formalization platform and evaluate correctness of the EIP patterns defined via the formalization platform.

Methods and systems for automated testing using browser extension
11507497 · 2022-11-22 · ·

According to certain aspects of the disclosure, non-transitory computer readable media, systems and methods are disclosed for creating and executing test scenarios for automated testing of web pages. A computer system, for example, may perform operations including: recording one or more actions performed by a user on a web page, the one or more actions resulting in a web page element being displayed in the web browser application, recording an identifier of the web page element, in response to detecting a user input indicating a selection of the web page element, and recording a characteristic of the web page element; and generating, by the testing extension, a test scenario specifying a testable outcome resulting from the one or more actions, the testable outcome being an occurrence of an element having the identifier and the characteristic.

Forecasting future states of a multi-active cloud system

An embodiment of the invention may include a method, computer program product and computer system for forecasting future states of a multi-active cloud. The method, computer program product and computer system may include a computing device that determines the operating state of the passive server. The operating state of the passive server is one or more of a deploying state and a smoke testing state. The computing device may determine the probability of the operating state successfully completing. The computing device may delay the second asynchronous workflow until the operating state successfully completes based on the probability of the operating state successfully completing exceeding a predetermined value.

AUTOMATED TESTING PLATFORM FOR TESTING MULTIPLE DEVICES
20220365867 · 2022-11-17 ·

A testing system includes a client library that functions as a proxy for remote procedure calls to allow commands to be issued directly from a test framework including an interface that enables remote procedure call commands to be sent to a device under test from a mobile device and responses from the device under test to be received and forwarded to the mobile device, even where the mobile device and device under test have different operating systems. A client program adapted to run on the device under test sends and receives remote procedure call commands from the device under test to and from a test server that implements the test framework and manages a device state of the device under test. In a pairing test, the remote procedure call commands include commands adapted to emulate a button press for initiating pairing between the mobile device and the device under test.

Method, system and computer program product for generating artificial documents

An artificial document generation method generating a larger set of artificial documents which mimics a smaller set of source documents. The method may include deriving metadata parameters from source documents, each parameter characterizing the source documents and having more than one possible value. The deriving may include: determining which ratio of the source documents has each of the values, defining metadata ratios characteristic of the source documents; training a model, on the source documents, to output artificial documents; and running the model as trained thereby to output artificial documents and overriding at least some words generated by the model in the draft artificial documents. Overriding is configured to ensure that at least some of the ratios characteristic of the smaller set of source documents are retained in the larger set.

System and method of identifying self-healing actions for computing systems using reinforcement learning

Example implementations relate to method and system for implementation of a software agent in a computing system, to identify the most effective self-healing action to build a Q-table by applying a reinforcement learning technique. In particular, the method includes determining an induced state of the computing system based on an error in one or more components of the computing system and selecting a corrective action corresponding to the induced state based on a plurality of Q-values stored in the Q-table. The method further includes executing the corrective action in the computing system and evaluating one or more parameters of the computing system to determine a current state of the computing system. Further, the method includes updating a Q-value of the plurality of Q-values corresponding to the corrective action, in response to evaluation of the current state of the computing system, to build the Q-table.