A Complete Cycle Of Test Data Management

A Complete Cycle Of Test Data
Management
It is imperative for the test engineers to deliver a reliable, trust-worthy error report but
even after identifying and retesting all the defects, something is left out and always
identified at the UAT phase. Reason? An unplanned​ ​test data management​ ​strategy.
Test data management can only happen by testing “test data”. In order to get an output,
a tester needs to input some data inside the application, or testing software. This data
further undergoes permutations and combinations for testing purposes. All the types of

text from numeric, alphabets, alphanumeric, special characters to the lengthy text
everything is included in the text box under the IT​ test environment management​.
As you start to add more functionality to your application, the corresponding test data
also increases. You can try different input variations like user credentials, environmental
data, setup data, input/output data, databases and more for testing.
Why Test data is important in Software testing?
Suppose that, you have created a form on your application that requires name, address
and password input. It is pretty obvious that you would have tested the test data of all

the input field functionality. After ensuring the test data, the application is deployed to
the production environment.
Now when the user starts filling up the form and press Submit button, it results into a
Blank page. Why so? When everything was tested what went wrong? The reason is, QA
team forgot to check for the blank Field case. This if goes to the end user, results in
havoc and affects the reputation and trustworthiness of the company.
Hence it is imperative to have an exhaustive check of the test data. The test data
checklist highlights are as given below:
• No data / Default data
• Valid data set
• Invalid data set
• Illegal data format (corrupted)
• Boundary Condition data set
• Data set for performance, load and stress testing

Test Data Management:
If an obsolete, absent or wrong data comes in during the software testing, it can
produce an unreliable, incomplete result which can be turned into a bug later. To
overcome any such situation, it is important to have a systematic approach toward
testing. The data collection can be done in any manner be it, excel sheet, Word
document, Text file etc.

For test data collection, you need to perform sampling, copy production data, copy test
data from legacy client team and generate data using automated software. This
preparation of data is many times referred to as test-bed preparation.
The difficulty that lies here is to collect data, that reflects future production data and
covers all the aspects of how the user is going to use this application. New
methodologies have been initiated for software testing owing to a faster, precise product
release cycles. Companies are looking out for new technologies that would have the
right potential and at the same time, be cost-effective.
A systematic test data management means faster deployment of applications, and
speedy way to achieve the business objectives. It would be worth if the company realise
the importance and start investing in Test Data Management instead of putting
themselves at risk. It is always better to ask an expert like ​enov8 ​and get an effective
test data management strategy.

Contact Us
Company Name : ​ Enov8
Contact Person : ​ Ashley Hosking
Address : ​ Level 5, 14 Martin Place, Sydney, 2000, New South Wales, Australia.
Phone(s) : ​ ​ +61 8916 6391
Website :- ​ ​ ​ ​https://www.enov8.com