What is Data Driven Testing? And Why Should You Go For It?

If you want to design a test case rapidly and efficiently in numerous variations with multiple sets of input data, you should use data-driven testing. You can receive the exact conclusion with the help of this software tester. Data Driven Testing might drain a lot of time if tried manually. You are going to understand exactly what data-driven testing is and why you should use it if you follow this blog.

Data-Driven Testing (DDT) is a test designing methodology that reads testing data from data files and databases like ADO objects, CSV files, ODBC sources and so on. After reading, it starts performing the exam script and also starts comparing the anticipated result. The expected result is also placed in the test data file to be read by the automation script in contrasting it with the real output. That’s how DDT marks the case – pass or fail.

Why to go for DDR?

As you reached this section of the blog, you have thoroughly understood the definition of data-driven testing. It offers numerous beneficial factors in your design testing. Some of such factors of using DDT are discussed below.

·    DDT can save you valuable time. If you try the entire process manually, it may take a long time to be executed. Hence, you are advised to use the DDT technique to ease your working process.

·    With data-driven testing, one can easily achieve better test storage. As the several cases and scripts used in testing is decreased in this technique. Also, the functions and actions can be utilized another time in some other tests.

·    The major thing that makes DDT more useful is, the test data or the product functionality does not get impacted by the change in the test script. You can use it even if any software development is running. It means, your working process does not get affected by any issues.

·    The feature of organizing test data and verified data into a file can reduce time and storage. It provides the team to work in various data sets for examination of data. Even, during regression testing, you are allowed to use several data sets to continue testing.

·    Moreover, data-driven testing can improve the use of computers and human resources. DDT is also well-known for its lower test case maintenance. It allows reusability and repeatability. Hence, one can easily utilize the exact test cases for numerous tests. For a smooth experience, you should go for data-driven testing.

Conclusion

Now you know the advantages of data-driven testing, it is better to work in an automation framework to store tested data in a format of spreadsheet. You can find your test data in multiple data sources such as XML, XLS, CSV and many more. Also, it is an ideal option to avoid any lengthy and time-consuming process. Data Driven Framework is a useful testing procedure for practical information. It is also useful for those who is willing to vouch for data testing in collective sets at the same time. If you also want to get all these benefits, you can go for the DDT. Hence, the specific manner can switch the occurrence of data testing.