Abstract: The present disclosure involves systems, software, and computer implemented methods for provisioning insight services in a data provider landscape. A method includes presenting an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider. Selection of the algorithm is received from a data consumer. The selected algorithm is provided to an agent at the data provider. The agent is configured to provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider. The agent is configured to execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs. The agent is configured to enable monitoring of the execution of the selected algorithm.

Abstract: The present disclosure involves systems, software, and computer implemented methods for provisioning insight services in a data provider landscape. A method includes presenting an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider. Selection of the algorithm is received from a data consumer. The selected algorithm is provided to an agent at the data provider. The agent is configured to provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider. The agent is configured to execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs. The agent is configured to enable monitoring of the execution of the selected algorithm.

Abstract: The present disclosure involves systems, software, and computer implemented methods for identifying test cases. One example process includes operations for identifying a mobile application to perform testing upon. A test environment and at least one risk situation associated with the mobile application are identified. For each of the at least one identified risk situations, at least one risk situation-relevant context parameter is identified. A standard operations path is created, as is at least one operations path-variant for each of the at least one identified risk situation-relevant context parameters. The corresponding operations path-variant is analyzed to identify a set of test cases for the context parameter, for each of the at least one identified context parameters.

Abstract: Embodiments of the present disclosure provide systems and methods for a lightweight monitoring application with key performance indicators (KPI) reporting and management. The method may include displaying a page with a plurality of tiles on a user device. The tiles displayed on the page may include a plurality of key performance indicator (KPI) tiles and at least one of a report tile, a news tile and a collaboration tile. The method may retrieve metadata from an in-memory database, the metadata from the in-memory database may correspond to content displayed in at least one of the KPI tiles on the page. In response to an input from a user input apparatus selecting one of the tiles displayed on the page, the method may display additional details or controls for the selected tile.

Abstract: The present disclosure involves systems, software, and computer implemented methods for identifying test cases. One example process includes operations for identifying a mobile application to perform testing upon. A test environment and at least one risk situation associated with the mobile application are identified. For each of the at least one identified risk situations, at least one risk situation-relevant context parameter is identified. A standard operations path is created, as is at least one operations path-variant for each of the at least one identified risk situation-relevant context parameters. The corresponding operations path-variant is analyzed to identify a set of test cases for the context parameter, for each of the at least one identified context parameters.

Abstract: Which one of a plurality of customization levels of a customizable operation of a software application is to be provided to a customizing user of the customizable operation may be determined, wherein each of the plurality of customization levels represents a different level of customization abstraction for customizing the customizable operation at an associated level of complexity. A maintenance view including a visual representation of the customizable operation may be provided, the visual representation corresponding to the determined customization level. A customization to the customizable operation may be received and applied to the customization to the customizable operation to cause the software application to implement the customization during an execution thereof.

Abstract: Which one of a plurality of customization levels of a customizable operation of a software application is to be provided to a customizing user of the customizable operation may be determined, wherein each of the plurality of customization levels represents a different level of customization abstraction for customizing the customizable operation at an associated level of complexity. A maintenance view including a visual representation of the customizable operation may be provided, the visual representation corresponding to the determined customization level. A customization to the customizable operation may be received and applied to the customization to the customizable operation to cause the software application to implement the customization during an execution thereof.