The workshop is devoted to model-based testing of both software and hardware. Model-based testing is closely related to model-based specification. Models are used to describe the behavior of the system under consideration and to guide such efforts as test selection and test results evaluation. Both testing and verification are used to validate models against the requirements and check that the implementation conforms to the specification model.
Model-based testing has gained attention with the popularization of models in software/hardware design and development. Of particular importance are formal models with precise semantics, such as state-based formalisms. Testing with such models allows one to measure the degree of the product's conformance with the model.
Techniques to support model-based testing are drawn from diverse areas, like formal verification, model checking, control and data flow analysis, grammar analysis, and Markov decision processes.
The intent of this workshop is to bring together researchers and users of models for to discuss the state of the art in theory, applications, tools, and industrialization of model-based specification, testing and verification.
Original submissions are solicited from industry and academia. They are invited to present their work, plans, and views related to model-based testing. The topics of interest include but are not limited to:
- Online and offline test sequence generation methods and tools
- Test data selection methods and tools
- Runtime verification
- Model-based test coverage metrics
- Automatic domain/partition analysis
- Combination of verification and testing
- Models as test oracles
- Scenario based test generation
- Meta programming support for testing
- Formalisms suitable for model-based testing
- Application of model checking techniques in model-based testing
- Game-theoretic approaches to testing
- Model-based testing in industry: problems and achievements
