Abstract: Machine learning techniques are employed to model test runs of an automated test platform in ways that allow for reliable identification of various types of test behavior such as, for example, whether certain classes of failures can be characterized as test flake.

Abstract: Methods and apparatus are described by which a rich, time-correlated information set is captured during automated testing of an application in a way that allows the application developer to understand the state of the application under test (AUT), the browser interacting with the AUT, and/or the device interacting with the AUT, as it/they changed over time. Mechanisms or features associated with browsers and/or device operating systems are exploited to capture such information, not only for the purpose of better understanding individual test runs, but also to enable the use of analytics over data sets.

Abstract: Methods and apparatus are described by which a rich, time-correlated information set is captured during automated testing of an application in a way that allows the application developer to understand the state of the application under test (AUT), the browser interacting with the AUT, and/or the device interacting with the AUT, as it/they changed over time. Mechanisms or features associated with browsers and/or device operating systems are exploited to capture such information, not only for the purpose of better understanding individual test runs, but also to enable the use of analytics over data sets.

Abstract: A data center supporting a network system for vending products to customers and associated vending methods are provided. The network system includes a data center and a plurality of vending stores remotely located from the data center and connected to the data center through a network interface. The vending stores also include an automated dispensing mechanism for immediate dispensing of purchased products to the customers. The data center may include an enterprise resource planning module and the vending stores may contain user interfaces for collecting inventory and maintenance data during stocking and maintenance.

Abstract: Methods and apparatus are described by which artificial intelligence (AI) is used to enable the rapid development of reliable test suites for web and mobile applications. An AI agent guided by reinforcement learning explores an application-under-test (AUT), interacting with the AUT to traverse the flows through the AUT by seeking novel application states. A subset of these flows is then identified as being representative of the functionality of the AUT. The interactions between the AI agent and the AUT that define these identified flows form the basis for the test suite.

Abstract: Methods and apparatus are described by which artificial intelligence (AI) is used to enable the rapid development of reliable test suites for web and mobile applications. An AI agent guided by reinforcement learning explores an application-under-test (AUT), interacting with the AUT to traverse the flows through the AUT by seeking novel application states. A subset of these flows is then identified as being representative of the functionality of the AUT. The interactions between the AI agent and the AUT that define these identified flows form the basis for the test suite.

Abstract: Methods and apparatus are described by which a rich, time-correlated information set is captured during automated testing of an application in a way that allows the application developer to understand the state of the application under test (AUT), the browser interacting with the AUT, and/or the device interacting with the AUT, as it/they changed over time. Mechanisms or features associated with browsers and/or device operating systems are exploited to capture such information, not only for the purpose of better understanding individual test runs, but also to enable the use of analytics over data sets.

Abstract: Machine learning techniques are employed to model test runs of an automated test platform in ways that allow for reliable identification of various types of test behavior such as, for example, whether certain classes of failures can be characterized as test flake.

Abstract: Methods and apparatus are described by which a rich, time-correlated information set is captured during automated testing of an application in a way that allows the application developer to understand the state of the application under test (AUT), the browser interacting with the AUT, and/or the device interacting with the AUT, as it/they changed over time. Mechanisms or features associated with browsers and/or device operating systems are exploited to capture such information, not only for the purpose of better understanding individual test runs, but also to enable the use of analytics over data sets.

Abstract: Methods and apparatus are described by which a rich, time-correlated information set is captured during automated testing of an application in a way that allows the application developer to understand the state of the application under test (AUT), the browser interacting with the AUT, and/or the device interacting with the AUT, as it/they changed over time. Mechanisms or features associated with browsers and/or device operating systems are exploited to capture such information, not only for the purpose of better understanding individual test runs, but also to enable the use of analytics over data sets.

Abstract: A data center supporting a network system for vending products to customers and associated vending methods are provided. The network system includes a data center and a plurality of vending stores remotely located from the data center and connected to the data center through a network interface. The vending stores also include an automated dispensing mechanism for immediate dispensing of purchased products to the customers. The data center may include an enterprise resource planning module and the vending stores may contain user interfaces for collecting inventory and maintenance data during stocking and maintenance.

Abstract: A data center supporting a network system for vending products to customers and associated vending methods are provided. The network system includes a data center and a plurality of vending stores remotely located from the data center and connected to the data center through a network interface. The vending stores also include an automated dispensing mechanism for immediate dispensing of purchased products to the customers. The data center may include an enterprise resource planning module and the vending stores may contain user interfaces for collecting inventory and maintenance data during stocking and maintenance.

Abstract: Flexible and extensible combination user interfaces are described. Combination user interfaces combine task-based and deductive user interfaces in such a manner that complex user interactions can be facilitated using a more meaningful and intuitive user interface than would have been possible using task-based or deductive user interfaces exclusively. The described combination user interfaces are flexible and extensible. They are flexible in that users can work on multiple tasks or switch between tasks without first needing to complete another task. They are extensible in that they can be extended to add, modify, or remove tasks or portions of tasks. User interfaces can be extended by manipulating metadata associated with the user interfaces. The combination user interface can be combined with an Inbox concept to facilitate saving and assigning tasks. The Inbox represents a work queue for a user.

Abstract: A data center supporting a network system for vending products to customers and associated vending methods are provided. The network system includes a data center and a plurality of vending stores remotely located from the data center and connected to the data center through a network interface. The vending stores also include an automated dispensing mechanism for immediate dispensing of purchased products to the customers. The data center may include an enterprise resource planning module and the vending stores may contain user interfaces for collecting inventory and maintenance data during stocking and maintenance.