A Brief Introduction To Data Driven Testing

Data-driven testing is the production of test contents where test information and the output values are picked directly from the database as opposed to utilizing the same hard-coded values each time for trials. Along these lines, Testers can test how the application handles different sources of info successfully.

Often we have several data sets that we need to run a single test. There is a long and time-consuming process for creating a personal test for each data set.

Data-driven test framework resolves this problem by searching data from functional tests. The same test script can be executed for various combinations of input test data and can generate test results.

Features: - 

1. Convertible data and hard-coded component identification: When test scripts contain hard-coded components, they break from the application's change. Therefore, find ways to incorporate variable data. However, everything cannot be convertible, so data-driven scripts often have both fields with variables and hard codes. It has the ability of the automation tester to design the script with the correct balance of both.

2. Duplicate Test Design: All application designs in data-driven scripts are developed using the scripting language. This is copied in both manual and mechanized test contents for synchronized references for both robotization and manual analyzers.

Advantages: - 

1. During the regression test, allows data to be tested with multiple sets of data values

2. Testing data and verification data can be arranged in only one file, and this test is different from the case logic.

3. It is possible to have the test scripts on the basis of the equipment, the same stores. It makes it easy to understand, maintain and manage texts.

4. Actions and functions can be reused in different tests.

5. Some devices automatically generate test data. This is useful when a large amount of random test data is required, which helps in saving time.

6. Data-driven test can do any phase of development. The care of a data-driven test is usually merging into a single process. However, it can be used in many test cases.