The integration of Robotic Process Automation (RPA) with Artificial Intelligence (AI) has managed to revolutionize business process automation. It's led to improvements in operational efficiency and pioneered the establishment of new standards for test automation. By...
How Data-Driven Testing Can Improve Your Software
Data-driven testing is a testing method for software that tests data that is specifically stored in a table or spreadsheet format. This style of testing allows testers to input a test script which will execute tests for all test data from a table and produce the output within that same table.
It is important because you may have multiple data tests that you want to test within a single element, and it can be time-consuming to create individual tests for each separate data set. With data-driven testing, you can keep the data separate from the test scripts so that the same script can be used for different combinations of input data.
What Is Data-Driven Testing?
Data-driven tests consist of two parts: the procedure and the data. The procedure is the set of steps that must be performed, and the data is the actual data that is used within the test.
One example of data-driven testing is a login test. In this style of test, you create a set of usernames and passwords that would serve as test cases for your login page. You would then store this information in a table where the program could run a test trying to log in utilizing each row in the table. Then, you could check the test’s results against the expected outcomes, whether they be valid or invalid.
Data-Driven Testing Advantages
There are many benefits to using data-driven testing instead of creating individual test cases, including:
Reduced test maintenance
Rather than having redundant testing, you can utilize a single test case and simply change the test data without affecting the procedure.
Faster test execution
A single automated test where the only thing that changes is the data means that you can conduct the test much more quickly than you would if you were doing manual, individual tests.
Improved use of resources
Betters storage of test data
In data-driven testing, test procedures and test data are stored separately, which means that you can share the data more easily, reuse it, or back it up as necessary.
Use for more than just testing
Using a Data-Driven Testing Framework
There are several steps to creating a functional, data-driven testing framework. The first step is to identify the test cases. This means that you will want to determine what elements you are testing and what you would like them to be able to do.
Thereafter, you will want to create detailed steps for the testing process which you will transform into a test script. With Ranorex Studio, you can perform this without the need for coding knowledge, saving you time and additional effort.
Once you have this, you can then create the test data, which you will keep separate from the test case. You can then input the test data into your test case to begin testing.
Ranorex Studio will then run your tests for you and provide you with detailed and customizable reports for you to review bugs and repair them quickly and efficiently. Additionally, because the test data is stored separately from the test procedures, you can then rerun the test as needed with new data each time.
Industries that Can Benefit from Data-Driven Testing
Data-driven testing is a flexible tool that can benefit a wide range of industries. Regardless of what your software aims to do, Ranorex Studio can help you test it so that it is ready for your users.
Banking and Financing
Government and Public Service
Given the immediate and ever-changing nature of transportation, testing is critical to maintaining a functional user interface. Ranorex Studio helps these applications to release more often and identify defects earlier.