MVV 2018 - IEEE International Workshop on Model-Based Verification & Validation

Costs entailed by software failures demonstrate that the systematic development of software in a certain quality is still a challenge, even after decades of research. A reason for this can certainly be found within the individual projects. Often, known techniques of quality assurance are not well understood and properly used due to deadline and budget restrictions. However, another reason is also the lack of techniques for quality assurance for specific types of software and software developed according to specific programming and modeling techniques.
Many ad-hoc security specifications, models, and protocols, which were implemented in software components in the past, turned out to be vulnerable to some extent. Formal verification and validation methodologies have the potential to increase user confidence in software artifacts. Therefore, theoretical foundations for security assurance should be investigated to discover new methods that will bring high certainty to the trustworthiness of software entities.
Verification and validation (V&V) methods, especially testing, deliver important analytical techniques for quality assurance. In model-based V&V, the software under consideration is considered by means of a model that focuses on certain aspects, often on the behavior of the software. Models frequently used are finite state machines and flow graphs. Testing techniques based on such models are, for instance, formal verification, control and data flow analysis, test case generation, and model checking
This workshop aims at giving researchers and practitioners a platform to present their results and experience to a broader audience.
The topics of interest include, but are not limited to:
Formal methods and theories in model-based V&V
Simulation by models, forecasts of behavior and properties by models
Models and modeling notations for programming and V&V
Tools for model-based V&V
Model-based security evaluation
V&V of security specifications, models, and protocols
Theoretical foundations of security analysis and design
Formal models for security testing
Testing with software usage models
Test case generation based on formal and semi-formal models
Test coverage metrics and criteria for model-based testing
Models as test oracles, test validation with models
Application of model checking in testing
Model-based V&V of reactive and object-oriented systems
Model-based verification and validation of tests
Experience reports and requirements from model-based V&V and model-based development in practice