Why use model-based testing?
What might be difficult to see in ambiguous text is
readily visible in models. Often the highest integration risks are missed when
testers work with ambiguities. Our team understands why this makes
difficult to achieve. We use modeling to create a systematic approach for test
designs, ensuring more comprehensive coverage at all integration and
transformation levels. In this way, our team focuses on the highest
risks first, ensuring defect discovery earlier in the lifecycle.
Models Define Systems and Processes under Test
In most projects, several models are created for the design
and development of the project. These models represent everything from the data
and systems to the transformation maps and process sequences. MG Harney
leverages the value of this information to create
test models that reduce test design efforts, saving time and money.
Models Define Test Designs
Models are not limited to conveying integration architecture and development
details. Models capture and communicate test team activities through work and
data flows. With models, our test team defines their design ideas in a clear and
unambiguous way that helps the project achieve its quality goals.
Models + Data Cases = Test
Models alone do not create a data test. Models represent the maps and
decision processes for testing. It is when data cases are combined with models
that complete tests are formed. MG Harney creates a relationship between models
and data cases for a comprehensive test design.