What is data driven testing?
Data-Centric and Data-Driven testing and development
Data has long been the forgotten component in test and development environments. The methodology Grid-Tools has implemented considers a modern, data-driven approach to testing and development. We stress the importance of using the right quality of test data in development and testing; data that maximises your code and functional coverage. The better the data, the more complete your testing. We have based our entire philosophy and the development of our software around our belief in data-centricity.
Data driven testing consists of methods and techniques to ensure you are testing with the most legitimate data possible. With the Datamaker™ suite, Grid-Tools use methods like all pairs, data bulking, data manipulation, version control, requirements based testing and applying data trends and algorithims to test data.
With a powerful data visualization engine also built into the tool, Datamaker™ offers the ability to quickly show you graphically where there are gaps in your test data. The data visualizations allow you to improve data coverage using data design, and to quickly see the effect of the created data on your testing databases. Use data visualization when creating data to ensure all scenarios are covered.
Using data visualization when creating test data from scratch
Watch the web demonstration below to learn more about the different data creation methodologies and approaches. Learn more about Datamaker™ integrating with Data Design™ to apply coverage techniques. Use Datamaker™ to provision very rich combinations of data based on project requirements.
Check out our pages on synthetic data generation and test data coverage to learn more.
Focus on the data and get better results!
