Data tests, or data-driven testing, are computer software testing methods for assessing a program’s output. Data testing can involve challenging a system’s capabilities under specific conditions or determining whether it can execute commands as the developer team intended.
The test data used in statistical tests for categorical data are stored in tables. A tester types in a test script, which runs tests on all the data. The test results will then be shown in the same table.
As mentioned above, data tests can help teams study how their projects handle different conditions. For instance, they can test how a system will function if a user inputs an incorrect command.
Once deployed, the test will help the user predict the system’s performance and experiences in real-life usage. They will check and fix potential performance bottlenecks before releasing the program.
IT teams can also conduct data tests to study how newly added features may affect a system’s functions. For instance, a new code may cause the system to execute a command incorrectly. The team can then modify or remove the code as needed.
Data tests can also be used for assessing the infrastructure’s ability to replicate and retrieve data as needed. This allows them to prepare their disaster recovery plans better if the system fails in the future. But how often should data restoration tests be conducted? Data testing at least once a year will help ensure the recovery plan stays updated.
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