Abstract: As described herein, a system, method, and computer program are provided for multi-channel application testing using generative AI. A test automation flow generated for an application is accessed. Generative artificial intelligence (AI) is used to automatically adapt the test automation flow to a plurality of versions of the application corresponding to different channels. The plurality of versions of the application are tested using the adapted test automation flows.

Abstract: As described herein, a system, method, and computer program are provided for test-related automatic tracing. A new requirement defined for an application is identified. The new requirement is processed, using a machine learning model, to predict each portion of the new requirement covered by existing test features. One or more new test features are caused to be created for the new requirement, based on the prediction of each portion of the new requirement covered by existing test features.

Abstract: As described herein, a system, method, and computer program are provided for defect resolution. Information associated with a defect detected in a computer system is received. The information is processed, using a first machine learning model, to predict a source of the defect. The information and the source of the defect are processed, using a second machine learning model, to predict one or more parameters for handling the defect. One or more actions are caused to be performed to resolve the defect, based on the predicted one or more parameters for handling the defect.

Abstract: As described herein, a system, method, and computer program are provided for intelligent value stream management. In use, a questionnaire is generated for a plurality of customers of an organization, wherein the organization provides a platform running a plurality of services for use by the customers. The plurality of customers are provided with access to the questionnaire. Answers to the questionnaire are received from at least one customer of the plurality of customers. Data associated with actual usage of the plurality of services is collected. The answers received from the at least one customer and the collected data are processed, using a machine learning model, to predict at least one change to be made with respect to the plurality of services.

Abstract: As described herein, a system, method, and computer program are provided for artificial intelligence (AI) driven automation of application testing. In use, one or more input data sources for an application are processed, using AI, to determine one or more automation objects or nuggets of the application. Supported application or platforms includes Web, API, Mobile devices, Windows or desktop application, power builder applications. Additionally, automated testing is created for the application, based on one or more elements displayed in the application. The system also supports detecting a failure of the automated testing, by identifying the changes in the application elements or nuggets. Failures of the automation can be automatically fixed and deployed to all the impacted automation scripts.

Abstract: As described herein, a system, method, and computer program are provided for orchestrating automatic software testing. In use, an interface to a plurality of different testing tools is provided, where each testing tool of the plurality of different testing tools usable for performing one or more testing-related tasks. Additionally, information describing a software project is identified. Further, use of the plurality of different testing tools is orchestrated to provide automated testing for the software project.

Abstract: A system, method, and computer program product are provided for identifying tests to automate in a software testing project. In operation, a request for a recommendation for at least one test to automate in a software testing project including a plurality of tests is received. Additionally, a plurality of parameters associated with the software testing project are identified to identify the at least one test to automate. Further, the at least one test to automate is identified from the plurality of tests associated with the software testing project, based on the plurality of parameters. Moreover, the at least one test to automate is presented as the recommendation utilizing at least one user interface.