Increase Your Test Coverage Through Automated Data-Driven Testing

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Why Automated Data Driven Testing

Automated Data Driven Testing using Testsigma

Create and manage your test data profiles with ease

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.

Import Test Data from different data sources

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.

Configure your tests to run multiple times with different data set each time

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.

Increase coverage through both positive and negative test data

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 data-sets 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 result for every test 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.'

Improve test coverage with proper data sets and well-managed data-driven testing approach.

Other cool features

  • Reusable Step Groups
  • Custom Functions
  • Parallel Test Execution
  • Cross Device Testing
  • Cross OS Testing
  • Cross Browser Testing
  • Schedulers
  • Screenshots of all your tests
  • Test Data Management
  • Test Suites
  • Local Test Executions
  • Integration with CI tool
  • Test Management
  • Requirements Management
  • Team Collaboration
  • Comprehensive Reports
  • Test Development Trend
  • Support for Manual Testing
  • Activity, history of your tests.
  • Centralized Object/Element Repository
  • Global Test Data Management
  • Data Driven Testing
  • Version Control
  • Automatic Bug Reporting
  • Testsigma Lab
  • Email and Slack Notifications