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One of the most significant advantages of model based testing (MBT) is that it optimizes the software testing time and cost.

To further make test execution more efficient, the automated validation tools access the shortest possible path from the start point to the endpoint. Automated test case generation and execution makes the overall testing solution more efficient and less error-prone.

Another advantage of model based testing is that it generates a minimal number of test cases to validate a given functional or data flow to ensure that the system under test works flawlessly and never does anything undesirable. The minimum number of test cases further result in cost optimization for testing.

Model based testing is normally used in combination with popular testing tools and automation frameworks, helping the team create both manual and automated scripts and increase the coverage.

MBT has become a popular modality for organizations because it helps create better software quality by getting teams thinking about the models. MBT also reduces test suit maintenance and allows for flexibility to generate many tests using different algorithms such as smoke, regression, integration, end-to-end and targeted testing for new or modified features.

There are numerous models available and it describes different aspects of the system behavior. Examples of the model are:

  • Data Flow
  • Control Flow
  • Dependency Graphs
  • Decision Tables
  • State transition machine

For most organizations, the move toward models holds promise, but it also introduces new challenges that should be addressed before realizing the full benefits of MBT.

The work starts by training software developers and testers on model based testing. The learning curve is steep. While software developers are familiar with coding paradigms, they still require testing knowledge, and they still need to know how to develop testable applications. Testers need to learn a new concept of modeling over traditional testing methods

It’s generally recommended to invest in the infrastructure before embarking into MBT. Because modeling is hard, organizations should take the time to consider the architecture. A tool must be scalable and should be able to deal with complex models while providing reliable test coverage.

Want to learn more? Tonex offers Model Based Testing Training, a 3-day course that covers the application of model based design for designing and optionally executing artifacts. These models can be used to represent the desired behavior of a system under test (SUT), or to represent testing strategies and a test environment.

Additionally, Tonex offers more than a dozen other courses in MBSE training, including:

MBSE Training Crash Course (4 days)

Model Based Requirements Engineering  (4 days)

SysML Training Crash Course (4 days)

Requirements Engineering Workshop with Use Cases (3 days)

 For more information, questions, comments, contact us.

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