Scale Your Test Automation With Model-Based Testing

Automating test execution was meant to make testing faster – yet it introduced new, skill-intensive processes and additional complexity. This session will explore how you can remove barriers to rigorous testing, automating toilsome tasks like test scripting, data allocation, and brittle test maintenance. You’ll see how visual models generate tests at lightning speed, while creating the smallest set of tests needed to assure quality. 

Model-based development not only enables rapid testing; it also fosters close collaboration between testers, developers and requirements engineers. You will learn to shift quality left, collaboratively creating the perfect requirements in visual flowcharts. The same models then generate the perfect set of tests and data, releasing accurately built, rigorously tested software in short sprints! 

What we’ll cover 

• Why test automation rates have struggled to exceed 15-20% of all tests executed [1] 

• How visual models generate up-to-date tests for different systems and frameworks 

• How model-based testing compares to low code automation, and the advantages it offers

• How model-based testing creates the smallest set of tests needed for optimal coverage

• How modelling fosters close collaboration and builds quality into every stage of development 

[1] Capgemini, Sogeti, The World Quality Report 2021-22, P. 23.