Abstract: Systems and methods for testing a subject system with a software testing process are described. The system receives Boolean states responsive to repeatedly applying a first test case to a subject system. Each Boolean state signifies an outcome of an application of the first test case to a version of a first software feature over a span of time. The system identifies test case outcomes for the first test case that are adjacent in time and different and generates an intermittency value for the first test case. The system determines that the intermittency value for the first test case exceeds an intermittency threshold and alerts an engineering resource. Finally, the system repeats the above operations until the intermittency value for the first test case does not exceed the intermittency threshold.

Abstract: Systems and methods for testing a subject system with a software testing process are described. The system receives Boolean states responsive to repeatedly applying a first test case to a subject system. Each Boolean state signifies an outcome of an application of the first test case to a version of a first software feature over a span of time. The system identifies test case outcomes for the first test case that are adjacent in time and different and generates an intermittency value for the first test case. The system determines that the intermittency value for the first test case exceeds an intermittency threshold and alerts an engineering resource. Finally, the system repeats the above operations until the intermittency value for the first test case does not exceed the intermittency threshold.

Abstract: Systems and methods for testing a subject system with a software testing process are described. The system receives Boolean states responsive to repeatedly applying a first test case to a subject system. Each Boolean state signifies an outcome of an application of the first test case to a version of a first software feature over a span of time. The system identifies test case outcomes for the first test case that are adjacent in time and different and generates an intermittency value for the first test case. The system determines that the intermittency value for the first test case exceeds an intermittency threshold and alerts an engineering resource. Finally, the system repeats the above operations until the intermittency value for the first test case does not exceed the intermittency threshold.

Abstract: Some examples of visualizing relationships between survey data can be implemented by displaying a user interface including a survey question region and a percentage region. In response to detecting a selection of a survey data set, multiple question objects are displayed in the survey question region. Each question object represents a survey question and an answer option for the survey question. In response to inputs to interact with the multiple question objects, survey results such as a percentage of selections of a first answer option to a first survey question represented by a first question object can be determined and displayed in the user interface. Also, interrelationships between answers to survey questions can be displayed by positioning question objects at different locations in the user interface. In response to a selection of a question object, other question objects can be presented according to the correlation with the selected question object.

Abstract: Some examples of visualizing relationships in data sets can be implemented as a method by one or more computer systems. Dimension objects and multiple measure objects are displayed adjacent to a cause region and an effect region in a user interface. Each dimension object represents an input category associated with an input quantity that contributes to a total quantity in a data set. Each measure object represents an output category associated with an output quantity based on an input category. A dimension object and a measure object can be moved into the cause region and the effect region, respectively, in response to input. From the data set, an output quantity associated with the measure object is determined based on an input quantity associated with the dimension object from the total quantity in the data set. A result representing the output quantity is displayed in the measure object.

Abstract: Some examples of visualizing relationships between survey data can be implemented by displaying a user interface including a survey question region and a percentage region. In response to detecting a selection of a survey data set, multiple question objects are displayed in the survey question region. Each question object represents a survey question and an answer option for the survey question. In response to inputs to interact with the multiple question objects, survey results such as a percentage of selections of a first answer option to a first survey question represented by a first question object can be determined and displayed in the user interface. Also, interrelationships between answers to survey questions can be displayed by positioning question objects at different locations in the user interface. In response to a selection of a question object, other question objects can be presented according to the correlation with the selected question object.

Abstract: Some examples of visualizing relationships in data sets can be implemented as a method by one or more computer systems. Dimension objects and multiple measure objects are displayed adjacent to a cause region and an effect region in a user interface. Each dimension object represents an input category associated with an input quantity that contributes to a total quantity in a data set. Each measure object represents an output category associated with an output quantity based on an input category. A dimension object and a measure object can be moved into the cause region and the effect region, respectively, in response to input. From the data set, an output quantity associated with the measure object is determined based on an input quantity associated with the dimension object from the total quantity in the data set. A result representing the output quantity is displayed in the measure object.