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Significance of Data Driven Automation Testing

April 29, 2019

Data-driven Automation Testing for Agile Development

Any application or product needs to be meticulously tested before it goes live into the market. Naturally, there are several ways of testing but an effective testing strategy that one should consider is data-driven testing.

Data Driven Automation Testing is a framework which allows storing of the test data in a table or spreadsheet format. This helps automation engineers run the same automated test with a different set of input data from an external data source such as Excel spreadsheets, CSV and XML files. This becomes easier as data retrieved from different sources can be verified and outputs obtained can be compared.

Why Data Driven Testing?

When carrying out day to day product development, at the time we make changes in the data set such as addition, deletion or modification, it becomes difficult to run hard-coded data each time. In manual testing, a tester will have to design multiple test scripts or modify existing test scripts multiple times and run it individually. This becomes a tedious and monotonous task for a manual tester.

That’s exactly where data-driven testing comes into the picture. Data-driven testing helps to manage a large volume of data in tables. By using this approach, we can overcome the issue of running different test scripts for multiple data sets. It keeps the external data and functional tests separately and loads them when needed to extend the automation testing.

How a Data-Driven Testing Works?

Data Driven Testing Process

A data-driven testing performs the following operations in a loop:

  • Retrieves a part of testing data from a data source like Excel spreadsheets, CSV and XML files.
  • Stores and utilizes that data in an application form.
  • Verifies the actual results with the expected results.
  • Repeats this test with the next set of input data.

Example: Let’s consider an example of an online registration form. A simple form with Name, Email, Password and confirm a password. Data filled through registration forms increases frequently day by day. Each user registration adds data rows in the database. Now follow some of the below steps:

  • Create a test scenario and design test cases
  • Consider one task to be performed - validate the data in the table and compare with the actual results whether it is correct or not.
  • Then feed multiple data from a spreadsheet, CSV or XML file.
  • Now run the test script, during execution the data is retrieved from the table. Each data set is executed one after the other in iterations.
  • After the script execution, you can finally compare the actual outcomes with expected results.

Automation Framework for Data-driven Testing

A data-driven testing can be carried out using TestingWhiz – an automation testing tool which allows application testing using multiple data sets and data values.

TestingWhiz tool separates the test logic from a test data and runs a single test script with different input values extracted from external sources like Excel, CSV, or XML. This smart test data management feature makes data-driven testing faster by reducing redundant test scripts and test maintenance efforts and also generates unique test results of an application performance. There are various best practices for effective data-driven test automation to be followed, that helps to achieve business strategic goals and ROI, to a great extent.

Advantages of Data-driven Testing:

1. Separation of Test cases and Test Data: Data-driven testing allows testers to test their applications using different data values and parameters without the need for changing test script/cases. While making a change in data sets such as addition, or deletion, doesn’t have implication with test cases. 

2. Reusability: Data-driven testing enables automation test engineer to run a test script even thousands of time with different data sets each time. 

3. Realistic Insights: As this approach allows continuous changes in the test data, every time with the execution of test script with different data offers you realistic results and can potentially find defects you would not find otherwise.

4. Efficiency: Data-driven tests can generate test scripts with less code, reduces manual efforts and makes it easy to maintain, monitor, and track results

5. Stronger Test Coverage: Large volume of data can be managed and executed thereby improving regression testing and better coverage.

6. Less Redundancy: Various data sets can be used as an input to run a single test script but can be used in several test cases which reduces unnecessary duplicates of tests.

Data-driven Testing is a very good approach if you have huge volumes of data to be tested for the same scripts. TestingWhiz comes with smart Test Data Management with inbuilt Data Tables to accelerate your test automation execution with quality output. To get started with automated data-driven testing email us at info@testing-whiz.com or call us on +1-855-699-6600.

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