Abstract: In one example of the disclosure, a menu and a plurality of menu elements included within the menu are identified within a software application. A set of menu traversal tracking measures are performed with respect to a target element from the plurality. The set of measures includes, responsive to identifying a user menu traversal action that is not a selection of the target element, incrementing the value of a counter. The set includes, responsive to identifying a user menu traversal action that is a selection of the target element, recording the value of the counter in association with data indicative of the target element. A recommendation to modify a first element among the plurality is generated in consideration of the recorded value.

Abstract: According to examples, an apparatus may include a processor and a non-transitory computer readable medium storing machine readable instructions. The instructions may cause the processor to access a plurality of widgets, in which each of the plurality of widgets includes a data value. The instructions may also cause the processor to identify a widget of the plurality of widgets including a data value that has changed over time by an amount that exceeds a pre-defined threshold as a widget-of-interest and output a notification regarding a suggestion for the widget-of-interest to be displayed on a user dashboard.

Abstract: According to examples, an apparatus may include a processor and a non-transitory computer readable medium storing machine readable instructions. The instructions may cause the processor to access a plurality of widgets, in which each of the plurality of widgets includes a data value. The instructions may also cause the processor to identify a widget of the plurality of widgets including a data value that has changed over time by an amount that exceeds a pre-defined threshold as a widget-of-interest and output a notification regarding a suggestion for the widget-of-interest to be displayed on a user dashboard.

Abstract: Examples disclosed herein relate to prediction models concurrency control types. Some of the examples enable generating a prediction model based on training data. The training data may comprise a set of access data associated with a data object. The set of access data may comprise: values for a set of attributes of the data object, and an indication whether a conflict occurred during processing of a request to access the data object.

Abstract: According to an example, user interface (UI) behavior based rules generation may include ascertaining data related to an application UI for a specified version of an application, and ascertaining context elements included in the data related to the application UI. UI behavior based rules generation may include ascertaining values associated with the context elements, and generating context combinations based on the context elements and the values associated with the context elements. UI behavior based rules generation may include determining a truth table for the application UI based on an analysis of fields of the application UI and corresponding context combinations, and generating, based on an analysis of the truth table, a rule that identifies customization of the specified version of the application.

Abstract: Examples relate to detecting UI layout changes. The examples disclosed herein enable generating combinations of values from a set of context elements that define a UI layout for an application. Each value in a first combination of the combinations may be selected from values available for each context element of the set of context elements. The examples disclosed herein further enable obtaining a first UI to be displayed based on the first combination and retrieving a first set of layout attributes of the first UI.

Abstract: Modifying a hierarchal structure includes obtaining, from a user interface (UI), data representing categories, levels for the categories, attributes associated with the categories, and attribute values associated with the attributes, restructuring the data with content to generate a hierarchal structure, and modifying, via the UI, the hierarchal structure based on modifications to the data and the content to generate a modified hierarchal structure.

Abstract: In one example of the disclosure, a menu and a plurality of menu elements included within the menu are identified within a software application. A set of menu traversal tracking measures are performed with respect to a target element from the plurality. The set of measures includes, responsive to identifying a user menu traversal action that is not a selection of the target element, incrementing the value of a counter. The set includes, responsive to identifying a user menu traversal action that is a selection of the target element, recording the value of the counter in association with data indicative of the target element. A recommendation to modify a first element among the plurality is generated in consideration of the recorded value.