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flow.threshold: The flow works on a scoring system. A change in test result from one build to the next affects the score. By default, if the score exceeds 0, the test is considered unstable. If test status fluctuation is expected, you can change the threshold to a higher value so that tests are considered stable despite a moderate change in status over the set number of builds.flow.maxBuildCount: By default, TSR uses the 10 most recent builds as the sample size for determining test stability. You can change themaxBuildCountvalue to include more or fewer builds. Using more builds will affect system performance.flow.algorithm: The built-in algorithm is used to calculate test stability by default, but you can specifycustomin this field and program your own algorithm in the Calculate Stability (custom) function node.
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To use the custom algorithm, you will also need to double-click the Switch Algorithm function node and specify the custom algorithm.
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After deploying the artifact, the Test Stability - Donut and Test Stability - Statistics widgets will be available in the DTP under the Process Intelligence category. Test See Adding Widgets for instructions on adding widgets to the dashboard.
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| Title | Enter a new title to replace the default title that appears on the dashboard. |
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| Filter | Choose Dashboard Settings to use the dashboard filter or choose a filter from the drop-down menu (see Creating and Managing Filters for more information about filters in DTP). |
| Last Run | The widget shows data for the last run based on test status. You can choose:
You can add multiple instances of the widget configured with different last run settings to create a more complete view of your test stability. |
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