Simple, intuitive enterprise-class automated testing tool for Data-Driven Testing to increase test coverage. No coding skills required.
It is advisable to keep the Test Data away from test scripts to keep it safe, well-ordered and to ensure the compactness of scripts.
Many a time, you may want to test the functionality with multiple test data sets to improve test coverage. You may also want to cover all possible negative scenarios using negative data input.
Organizing multiple test data sets(positive and negative) in a Test Data Profiles makes the task of managing them easier.
Testsigma’s intuitive UI enables you to create Test Data Profiles outside your scripts and manage large data sets(positive and negative) without much effort.
Data can come from different sources in different formats. Testsigma supports importing data from both Excel(XLS) and JSON files to create Test Data Profiles.
Associate test cases easily with Test Data Profiles and replace the hard-coded test data in your test steps with the parameter names from Test Data Profiles.
Mark your tests as ‘Data-Driven’ to run the same script multiple times with different data sets.
Negative testing is a commonly overlooked in small test cycles.
Since the user inputs are often prone to errors, there is a need to perform negative testing.
Testsigma allows you to increase the test coverage by using positive and negative datasets in a single data profile. At one time, a test can be run using multiple positive and negative datasets.
Making a negative data set is as simple as marking Expected to fail column for a data set.
Test reports consist of consolidated results as well as results filtered for each data set iteration to help you identify the failure with a particular data set.
To differentiate between positive and negative test data the expected result is marked 'Expected to fail.'
Every customer-facing application interface needs to be thoroughly tested with all possible input data sets that the customer is likely to provide to ensure an error-free customer experience.
The task of testing the same scenario many times with all possible data combinations(positive and negative) is highly redundant and is a good candidate for automation. Therefore, Automated Testing is the best approach for Data-Driven Testing.
Once the test script is written with the right automated testing tool, you can execute the tests multiple times with unique data sets fed to it every time increasing test coverage.
Testsigma's Test Data Management system aids in storing and managing all your Test Data at one place to keep your tests clean, simple, readable and ready for data-driven testing.
Clearly defined positive and negative Test Data Sets in each Test Data Profile helps you run the same scenario with all possible Test Data combinations.
Test cases in Testsigma are ready for Data- Driven Testing with enterprise-class features by default. No coding or customization is required.
You can easily add more test data sets to run the tests anytime to increase the test coverage and to ensure a smooth customer experience.
No additional changes required.