# SpecFlow+ Runner Server Data The SpecFlow+ server can be used to store execution statistics for your tests. This data forms the basis for executing tests using the "Adaptive" `testSchedulingMode` in your [profile](../Profile/Profiles.md). Information on setting up the server can be found [here](Setting-up-the-SpecFlowPlus-Runner-Server.md). ## Adaptive Tests Scheduling SpecFlow+ uses the test history to determine the order that tests are executed when using the "Adaptive" `testSchedulingMode`. Previously failing tests and new tests are executed before successful and stable tests. Use the "Adaptive" test scheduling mode to prioritise tests failing tests, particularly in combination with the `stopAfterFailures` setting. ## Data in the Database The execution statistics are stored in an SQL database. The TestItems store data on the previous test results. This is in a format similar to the following: ``` [{"Result":100,"ExecutionTime":"00:00:05.3810000"}, {"Result":100,"ExecutionTime":"00:00:05.5930000"},{"Result":100,"ExecutionTime":"00:00:04.5470000"}, {"Result":100,"ExecutionTime":"00:00:05.7500000”},{"Result":100,"ExecutionTime":"00:00:08.9010000] ``` The test results per execution are stored separately (comma-separated). For each test execution, the result of the test and the execution time are stored. The following result values are used: * Unknown = 0 * Succeeded = 100 * Ignored = 200 * Pending = 300 * RandomlyFailed = 390 * Failed = 400 The SQL database also contains a table called Events, that also contains information on the time a test was executed, the machine, the configuration etc. ## Accessing the Database via HTTP The execution statistics in the database are also partially accessible via HTTP using the following URLs: `:/read/TestItems` `:/read/Projects` You can append queries to the URL, such as `[…]/TestItems?$filter=(ProjectId eq guid'745C3D6E-FFC9-4ED9-AE7D-F6FA2102D4AC') and (indexof(Path, ‚cart‘) ge 0)` By default, the information is displayed as an RSS field, but if you display the source code, you can view the data itself.