Few Guidelines To Create A Viable Test Data Management For Software Testing

When working in an IT or technological department, one thing shall always remain consistent, i.e software testing. At each step developers and the entire team need to precise with the test data management.

The Agile methodology has taken over the market. This is a clear indication that testing environments are at the stage of enrolling Continuous Delivery in the system.

Knowing What is Test Data

Any software testing process first begins with the generation of test data. It is basically a set of documents programmed in positive and negative test data.

Here positive test data is generated to make sure that the software expectations are duly met. Whereas, the negative data looks upon the repercussions and unexpected events in the software.

Test data generation is not that difficult, the crucial part is generating enough data for the testing process.

There are a few things if kept in mind can help you create an excellent test data. It’s time to walk through the guideline stated below.

Input Incorrect or Blank Test Data

Now, this might sound weird or discomforting. But it is fairly true, validating incorrect or blank test data is a medium to check whether the system is able to identify error or bugs in the application.

Now you can prepare a plan where the test data won’t be too descriptive. Too much information can cause the system to miss out on any vital information.

Stay within the boundaries of the data set

When you start with the preparation of test data, be very precise about staying within the boundaries. Adhere to the boundary conditions where both upper and lower set of data are duly covered.

The need for large data set

You might wonder, why do we need a large set of data? If on one end small set of data sets are preferred, what good could come with the large quantity? Technically, creating heavy data units help in testing performance, load and stress on the application.

Validate Illegal set of Test Data

Insert the system with illegal test data. In this case, the testing software should not accept the same. This process allows you to be careful with original data and avoid any illegal interventions.

Concluding words

Test data creation can be done in various forms. Let’s start from the manual method, inheriting production data, sourcing the data from the client system or could be generating data using test environment management tool.

According to Enov8, which an excellent hub for IT solutions, test data generation should be carried out way before the testing process initiates. Also, the test data needs to be validated every time it is used for a new purpose.

Each time the test environment needs test data, it first undergoes verification. After the tester approves the data to be viable the process is carried forward.

Whether the application will be a success or not, depends on software testing. And the software is the result of a good test data. So remember, at the end of the day your testing results shall flourish with sufficient viable information.