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Keyword driven testing and data-driven testing are two approaches to automated testing that are often used to validate the functionality of software applications. While they have some similarities, they are distinct approaches that are used for different purposes.
Keyword driven testing is a testing approach in which the actions to be performed and the data to be used in the test are defined in a table or spreadsheet, and the test is executed by following the steps in the table. The table typically contains a list of keywords that represent actions to be performed, such as clicking a button or entering data into a form. The keywords are associated with specific arguments or parameters that specify the details of the action to be performed.
Data-driven testing, on the other hand, is a testing approach in which the test data and the expected results are stored in a data file, and the test is executed by reading the data from the file and performing the actions specified in the test. The data file can be a spreadsheet, a database, or any other type of structured data store. In data-driven testing, the same test script is typically used to test multiple sets of data, and the test is considered to have passed if the actual results match the expected results for each set of data.
Here is a summary of the main differences between Keyword driven testing and data-driven testing:
Keyword driven testing | Data-driven testing |
---|---|
Defined in a table or spreadsheet | Defined in a data file |
Defined as arguments or parameters for the keywords | Stored in the data file |
Test is executed by following the steps in the table | Test is executed by reading the data from the file and performing the actions specified in the test |
From the perspective of the user or the system | From the perspective of the system |
Test script can be reused with different sets of data by changing the data in the table | Test script can be reused with different sets of data by changing the data in the data file |
Overall, Keyword driven testing and data-driven testing are both useful approaches for automating the testing of software applications, as they allow tests to be run quickly and repeatedly with minimal manual intervention. However, they do require some setup and preparation, as the test data and actions must be defined in advance. Keyword driven testing is more focused on defining the actions to be performed, while data-driven testing is more focused on defining the test data and expected results. Both approaches can be used to test the functionality of the system from the perspective of the user or from the perspective of the system itself.
To learn more about Keyword driven testing and data-driven testing and how they can be used to automate the testing process, visit our learning hub on keyword driven testing. This resource provides in-depth information on these approaches and how they can be used to ensure the quality and reliability of your software applications.
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