Costs entailed by software failures demonstrate that the systematic development of software of 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 neither well understood nor properly used due to deadline and budget restrictions. However, another reason is the lack of techniques for quality assurance for specific types of software as well as for 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 represented by means of a model that focuses on certain aspects, often on the behavior of the software. Finite state machines and flow graphs are frequently used models. Testing techniques based on such models include, 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.