Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a cloud-computing system architecture. In some implementations, target performance criteria associated with an application executable at least in part on a cloud-computing system is obtained. Target process parameters related to processes associated with the execution of the application are generating using machine-learning models from the target performance criteria. Simulations of the execution of the application on respective ones of candidate computing systems are performed. Each candidate computing system includes a corresponding sequence of multiple architecture components at least a portion of which represents components of the clouding computing system. At least one of the candidate computing systems is selected that satisfies the target process parameters. Instructions are provided for deploying the selected computing system for execution of the application.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for performing autonomous self-healing of test scripts. One example process includes the actions of recording data that reflects user interactions with multiple user interface objects of a first user interface, and, for each interaction, generating a natural language statement that reflects an intent of the interaction with an associated user interface object. The process also includes storing the natural language statements in a test script, autonomously self-healing the test script for execution on a second user interface, and executing the autonomously self-healed test script on a second user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for performing autonomous self-healing of test scripts. One example process includes the actions of recording data that reflects user interactions with multiple user interface objects of a first user interface, and, for each interaction, generating a natural language statement that reflects an intent of the interaction with an associated user interface object. The process also includes storing the natural language statements in a test script, autonomously self-healing the test script for execution on a second user interface, and executing the autonomously self-healed test script on a second user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for performing autonomous self-healing of test scripts. One example process includes the actions of recording data that reflects user interactions with multiple user interface objects of a first user interface, and, for each interaction, generating a natural language statement that reflects an intent of the interaction with an associated user interface object. The process also includes storing the natural language statements in a test script, autonomously self-healing the test script for execution on a second user interface, and executing the autonomously self-healed test script on a second user interface.