Abstract: A computing device displays, in a graphical user interface, a graphical representation of position information. The position information defines a first representation of a shape of at least two dimensions. The device obtains a computer model that predicts an initial response according to the first representation input to the computer model. The device receives, via the graphical user interface, a manipulation of the graphical representation that changes the position information to define a second representation of the shape of the at least two dimensions. The device generates an updated response according to the second representation input to the computer model.

Abstract: A system, method, and computer-program product includes displaying a user interface that is configured to create a short run control chart from a dataset; detecting, via the user interface, a plurality of drag-and-drop inputs; converting, based on the plurality of drag-and-drop inputs, values from a first column of the dataset into location data points; and updating a real-time view of the short run control chart to include the location data points.

Abstract: A system, method, and computer-program product includes displaying, via a graphical user interface, a plurality of selectable objects generated for an initial set of predictor variables in a dataset; displaying, concurrently with the set of selectable objects, the initial set of predictor variables in distinct graphical representation; receiving, via the graphical user interface, a plurality of inputs while the initial set of predictor variables are being displayed in the distinct graphical representation; and, in response to receiving the plurality of inputs, updating the distinct graphical representation and one or more other distinct graphical representations associated with the plurality of selectable objects based on a predictor strength assessment for the subset of the initial set of predictor variables.

Abstract: A system, method, and computer-program product includes obtaining application configuration data; computing, via an execution of a designed experiment, a plurality of application usability tests based on the application configuration data; generating a computer-executable application based at least on the plurality of application usability tests; and deploying the computer-executable application to a target computing environment for execution by one or more users.

Abstract: A computing device receives user input for a design of an experiment. The user input indicates respective factor identities for factors in the design of the experiment, respective response identities for responses to options for the factors in the design, and a user-defined objective for the one or more responses. Additionally, based on the user input, the computing device displays a subset of a set of multiple model types and a user-definable amount of design runs for the design. Each design run presents settings according to the design for each of the factors. The computing device also receives settings indicating a user-selected model type from the subset and a user-defined amount of design runs, and based on the settings, selects one or more design construction criteria for generating the design. The computing device then generates the design according to the design construction criteria.

Abstract: A graphical user interface is provided for automatically generating software tests for testing a software program. In one example, a system can obtain an output dataset generated by a first software program based on an input dataset. The output dataset can be displayed in a graphical user interface (GUI). The system can detect a selection by a user of a particular location in the GUI corresponding to a particular value of the output dataset. The system can then generate a testing program, for testing functionality of a second software program, by inserting the particular value into testing logic of a predefined code template. The first and second software programs may be different versions of the same software program. The system can then execute the testing program to test the functionality of the second software program and thereby generate test results, which can be output to the user in the GUI.

Abstract: A computing device obtains first and second factors for a nesting design and first and second sets of candidate options for the first and second factors, respectively. The computing device also receives a nesting indication that the second factor is nested within the first factor. The computing device generates the nesting design by portioning the first and second sets of candidate options into respective first and second different sets of groups. Based on the nesting indication, the computing device generates an assignment of groups for a design, and also selects options in the nesting design for the first and second factors based on the assignment of groups. The computing device also generates terms for a computer model for a computer simulation of the nesting design, as well as one or more computer-generated assessments of the nesting design based on the computer simulation.

Abstract: A graphical user interface is provided for automatically generating software tests for testing a software program. In one example, a system can obtain an output dataset generated by a first software program based on an input dataset. The output dataset can be displayed in a graphical user interface (GUI). The system can detect a selection by a user of a particular location in the GUI corresponding to a particular value of the output dataset. The system can then generate a testing program, for testing functionality of a second software program, by inserting the particular value into testing logic of a predefined code template. The first and second software programs may be different versions of the same software program. The system can then execute the testing program to test the functionality of the second software program and thereby generate test results, which can be output to the user in the GUI.

Abstract: A computer-implemented system, computer-implemented method, and computer-program product includes receiving, via a graphical user interface, a request to generate an initial design of experiment plan based on one or more experiment factors; generating a first plan settings container object that represents the initial design of experiment plan in computer memory; and instantiating, within the graphical user interface, a plan explorer section that includes a plan settings graphical entry that displays a graphical representation of a plan factors data object and a plan model data object associated with the first plan settings container object.

Abstract: A computer-implemented system, computer-implemented method, and computer-program product includes receiving, via a graphical user interface, a request to generate an initial design of experiment plan based on one or more experiment factors; generating a first plan settings container object that represents the initial design of experiment plan in computer memory; and instantiating, within the graphical user interface, a plan explorer section that includes a plan settings graphical entry that displays a graphical representation of a plan factors data object and a plan model data object associated with the first plan settings container object.

Abstract: A computer-implemented system, computer-implemented method, and computer-program product includes receiving, via a graphical user interface, a request to generate an initial design of experiment plan based on one or more experiment factors; generating a first plan settings container object that represents the initial design of experiment plan in computer memory; and instantiating, within the graphical user interface, a plan explorer section that includes a plan settings graphical entry that displays a graphical representation of a plan factors data object and a plan model data object associated with the first plan settings container object.

Abstract: A system, method, and computer-program product includes displaying a user interface that is configured to create a short run control chart from a dataset; detecting, via the user interface, a plurality of drag-and-drop inputs; converting, based on the plurality of drag-and-drop inputs, values from a first column of the dataset into location data points; and updating a real-time view of the short run control chart to include the location data points.

Abstract: A computer-implemented system, computer-implemented method, and computer-program product includes receiving, via a graphical user interface, a request to generate an initial design of experiment plan based on one or more experiment factors; generating a first plan settings container object that represents the initial design of experiment plan in computer memory; and instantiating, within the graphical user interface, a plan explorer section that includes a plan settings graphical entry that displays a graphical representation of a plan factors data object and a plan model data object associated with the first plan settings container object.

Abstract: A computer-implemented system, computer-implemented method, and computer-program product includes receiving, via a graphical user interface, a request to generate an initial design of experiment plan based on one or more experiment factors; generating a first plan settings container object that represents the initial design of experiment plan in computer memory; and instantiating, within the graphical user interface, a plan explorer section that includes a plan settings graphical entry that displays a graphical representation of a plan factors data object and a plan model data object associated with the first plan settings container object.

Abstract: A computer-implemented system, computer-implemented method, and computer-program product includes receiving, via a graphical user interface, a request to generate an initial design of experiment plan based on one or more experiment factors; generating a first plan settings container object that represents the initial design of experiment plan in computer memory; and instantiating, within the graphical user interface, a plan explorer section that includes a plan settings graphical entry that displays a graphical representation of a plan factors data object and a plan model data object associated with the first plan settings container object.

Abstract: A system, method, and computer-program product includes obtaining, via a graphical user interface: an input of a measured unit distribution derived from measurements, by a measuring device, of a plurality of instances of a physical unit; an input of characteristics of the measuring device used in the measurements of the plurality of instances of the physical unit; and an input of a type of distribution for fitting a set of measurement values of the physical unit to a target distribution; computing, via a unit distribution estimation algorithm, an estimated true unit distribution of the plurality of instances of the physical unit based on (a) the input of the measured unit distribution, (b) the input of the characteristics of the measuring device, and (c) the input of the type of distribution; and using quantitative characteristics of the estimated true unit distribution to mitigate binning classification error of the physical units.

Abstract: A system, method, and computer-program product includes obtaining application configuration data; computing, via an execution of a designed experiment, a plurality of application usability tests based on the application configuration data; generating a computer-executable application based at least on the plurality of application usability tests; and deploying the computer-executable application to a target computing environment for execution by one or more users.

Abstract: A computing device receives a request requesting a screening design for an experiment. The device obtains factors for screening. A first factor has a first set of candidate inputs comprising at least two candidate inputs for allowable inputs in the experiment. A second factor has a second set of candidate inputs comprising at least three candidate inputs for allowable inputs in the experiment. The device receives an indication of a run size. The device generates the screening design by assigning, based on the run size, the first factor to a two-level group that only allows at most two allowable inputs for the first factor in the experiment. The device generates the screening design by assigning, based on the initial run size, the second factor to a three-level group that only allows at most three allowable inputs for the second factor in the experiment. The device outputs the screening design.

Abstract: A computing device receives a request requesting a screening design for an experiment. The device obtains, for the screening design, factors for screening in the experiment. A first factor is a categorical factor with a first set of candidate inputs comprising at least three candidate inputs in the experiment. A second factor is a continuous factor with a second set of candidate inputs comprising candidate input options within range(s) for the second factor. The device receives an indication of a run size that is a user-requested quantity of runs for the screening design. The device generates the screening design based on the run size. The device outputs the screening design. The screening design comprises runs of a quantity based on the user-requested quantity of runs for the screening design. The runs comprise the first set of candidate inputs and at least three inputs of the second set of candidate inputs.

Abstract: A computing device receives a target value for a design quality metric. The target value indicates a desired quality of a design of an experiment and is related to an input parameter by a response curve. The computing device also validates the target value as being in a feasibility range for the design quality metric, and if so, determines a candidate value for the input parameter that yields a calculated value for the design quality metric. To determine the calculated value, the computing device iteratively adjusts the candidate value until the calculated value is within a predetermined tolerance of the target value. The computing device then updates an interactive graph visually representing the calculated value for the design quality metric as a function of the candidate value for the input parameter and outputs a graph visually representing the relationship that exists between the candidate value and the calculated value.