Oracle International Corporation

Hugh Zhang

Prashant Singh

Jairam Ramanathan

Pangus Ho

Yi Dai

Brendon Charles Glazer

Brandon Yoshimoto

Teck Hua Lee

Mary E G Bear

Diar Ahmed

Mark Robertson

Tamika Tannis

Amy Christine Wilson

Christian Straub

Gary Look

Kevin Chow

Melinda Tang

Baofeng Yu

Diego Frabotta

Implementations generally relate to software testing system and method for automatically generating, deploying, and monitoring software tests employed to test software applications and/or software process flows. In implementations, a system generates software application tests and varies such tests used based on several criteria including monitoring a software application processing defined inputs and outputs to determine which parts of the application are being tested, which parts of the software application are not being tested, user interactions, metadata, type of software application, use computing environment, etc. The system may be configured to adapt testing, either pre or post production, to allow, user interactions of one or more running software applications to be used to provide feedback on which additional tests to add and/or subtract automatically to testing sequences. Moreover, data gathering techniques such as crowd source data sampling, statistical sampling, and the like, may be employed as additional input to the system.

Automatic generation of unit tests while running an application

A chart is displayed without rendering entirely obscured markers. Successive nested pixel maps of a chart of pixels are traversed. Each of the nested pixel maps has fewer data elements than a corresponding next one of the nested pixel maps. Obscurity states of markers of the chart are determined. The obscurity states include an entirely obscured state, an entirely visible state, and a partially visible state. Each of the markers for a particular nested pixel map is associated with a separate pixel for the particular nested pixel map. One or more of the markers associated with the entirely visible state and one or more of the markers associated with the partially visible state are rendered without rendering markers associated with the entirely obscured state.

Displaying a chart without rendering entirely obscured markers

Implementations generally relate to optimizing bar charts. In some implementations, a method includes receiving a plurality of data points, where each data point of the plurality of data points has a value. The method further includes determining a plurality of bars of the bar chart based on the plurality of data points, where each bar of the plurality of bars has a length and a width. The method further includes associating at least portions of a plurality of pixels used to render the bar chart with the plurality of bars. The method further includes determining for each pixel or pixel portion, at least one or more of a highest positive bar and/or a lowest negative bar. The method further includes rendering for individual pixels or pixel portions, one or more of the respective highest positive bar and/or the respective lowest negative bar.

Bar chart optimization

A system and method for facilitating integrating enterprise data from multiple sources for display via in a common interface. An example method includes displaying, via a first user interface display screen, a first set of one or more personnel icons representative of one or more enterprise personnel, and providing a first user option to select one or more of the personnel icons. A second user interface display screen may be displayed in response to or after selection of one or more of the personnel icons. The second user interface display screen presents a first type of data. The second user interface display screen further provides a second user option to select one or more user interface features associated with the first type of data, and to then trigger display of a third user interface display screen. The third user interface display presents a second type of data that is associated with the first type of data.

Providing a user interface that maintains information and context continuity while transitioning between views pertaining to different types of enterprise data

Implementations generally relate to using a nested pixel map to optimize chart rendering in a graphical user interface. In some implementations, a method includes generating a first pixel map for a chart, wherein the first pixel map is a first data structure that includes a first group of first data elements, wherein each first data element corresponds to a pixel of a plurality of pixels used to render the chart. The method further includes generating at least one secondary pixel map for the chart. The method further includes determining one or more obscurity states of one or more markers of the chart based on one or more of the first pixel map and the at least one secondary pixel map. The method further includes rendering one or more of the markers in the chart based on the obscurity state of each of the one or more markers.

Using a nested pixel map for chart rendering optimization

Implementations generally relate to optimizing bar charts. In some implementations, a method includes receiving a plurality of data points, where each data point of the plurality of data points has a value. The method further includes determining a plurality of bars of the bar chart based on the plurality of data points, where each bar of the plurality of bars has a length and a width. The method further includes associating a plurality of pixels used to render the bar chart with the plurality of bars. The method further includes determining for each pixel of the plurality of pixels at least one or more of a highest positive bar and a lowest negative bar. The method further includes rendering for each pixel one or more of the respective highest positive bar and the respective lowest negative bar.

A grid-based visualization displays icons representing data entities in grid cells corresponding with the data entities' attribute values. Grid cells organize icons according to first and second attribute values of their data entities. Dynamic grouping replaces icons with summary icons based on one or more additional attributes of their data entities. Each summary icon represents one or more icons having matching values of their additional attributes. Summary icons may include sizing and visual indicators of aggregate values of the icons they replace. Summary icons may replace icons within a single cell or multiple cells. Summary icons may be positioned based on the positions of the icons they replace. User interface controls for activating and controlling grouping may be integrated with a legend.

Dynamic node grouping in grid-based visualizations

Systems and methods are disclosed that, in various embodiments, improve chart performance by data filtering. In one aspect, the disclosed techniques allow all visible local maxima and minima to be rendered without having their values altered. In another aspect, the disclosed techniques filter data by skipping points evenly. In some embodiments, every horizontal pixel contains two points, so the line is visually uniform. This can dramatically enhance visualizations where data point intervals are uneven (e.g., having 'mixed frequency'). Using a two point per pixel approach, the disclosed techniques ensure that a resulting simplified line looks almost identical to the original line by drawing at the limit of the screen resolution. The disclosed techniques allow for an algorithmic complexity of O(n), which is significantly faster than existing solutions.

Line and area chart performance by data filtering

A system that clusters map markers on a map receives a plurality of map markers, each having an associated location on the map and at least one attribute, and a characteristic corresponding to the attribute. The system location clusters the map markers based on the location within a cluster. The system then groups the clustered map markers based on the associated attribute, where each grouped marker retains the corresponding characteristic. The system then positions the grouped map markers within the corresponding cluster.

Attribute based map marker clustering

A user of a web application can perform a drag and drop operation from a first component of the web application to a second component of the web application. The drag and drop operation can include three actions. The first action can be initializing a drag of an object within a first component of a web application. The second action can be dragging the object from within the first component over a drop target located within a second component of the web application. The third action can be dropping the object onto the drop target located within the second component of the web application. One of the first and second components can be a web component, and the other component can be a visualization component. The first and second components of the web application can communicate with each other using a communication component of the web application.

Drag and drop interaction between components of a web application

Systems and methods are disclosed that, in various embodiments, improve chart performance by allowing users to interactively split and unsplit charts with dual-Y axis using dragging gestures or a button.

Chart dual-Y resize and split-unsplit interaction

A grid-based visualization displays icons representing data entities in grid cells corresponding with the data entities' attribute values. The grid-based visualization enables users to zoom in or maximize the size of a selected grid cell, row of grid cells, column of grid cells, or any other selection of grid cells in a grid-based visualization. When zooming on a single row, the other rows are reduced in height and the selected row is enlarged to occupy the remaining space. When maximizing a single column, the other columns are reduced in width and the selected column is enlarged. When maximizing one or more cells, the unselected cells are minimized in height and/or width, and the selected cells are enlarged. Icons may be dynamically sized to fit within their assigned cells. An overflow indicator, zooming, and scrolling may be used to view sets of icons that cannot fit within their assigned cells.

Maintaining context for maximize interactions on grid-based visualizations

A system for providing an interactive map displays an interactive map marker that includes an associated location on the map, an associated data value, a visual indicator, and an underlying data model. The system receives an interaction from a user that modifies the visual indicator and changes the associated data value based on the visual indicator modification. The system then changes the underlying data model based on the visual indicator modification.

Interactive map markers

Example embodiments reduce the processing required to zoom on graphical data visualizations by transforming only graphic elements visible in the zooming viewport. In one example embodiment, a grid overlays the component image. Prior to zooming, grid elements covered by the zooming viewport are determined and only graphic objects bounded by those grid elements are transformed during zooming.

Algorithm for improved zooming in data visualization components

In accordance with various embodiments, a magnifying tool is provided in a user interface for magnifying content displayed on a mobile device and any other device with a restricted or limited viewing screen. A mobile device, including a magnifying tool for magnifying content displayed on the mobile device, can comprise a computer readable storage medium and processor. The mobile device can include a touchscreen operable to receive input from a user and display content. When the mobile device receives a selection of a location on the touchscreen, the mobile device determines a position of the location on the screen, determines a portion of the screen to magnify, and magnifies the portion of the screen and overlays the magnified portion on the screen.

Growing community of inventors

Winchester, MA, United States of America

Hugh Zhang