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Background and Objectives
Development of trustworthy software-intensive systems constitutes one of the major engineering challenges. Both functional correctness and extra-functional properties such as safety, reliability and security are equally important for ensuring system trustworthiness. To efficiently cope with complexity caused by inherently heterogeneous development environment, the designers often rely of model-driven techniques that provide them with a comprehensive integrated notation. Indeed, graphical models help to bridge the gap between informal requirements and formal models, while various architectural modelling frameworks enable the efficient multi-view analysis of diverse system properties.
Though the benefits of using both formal and model-driven techniques in the design of trustworthy systems are widely acknowledged, there is still a lack of common understanding of the integration mechanisms. In particular, there are ongoing debates about achieving a balance between flexibility and rigor in integrated modelling, analyzing the interplay between functional and extra-functional properties, using domain-specific frameworks as well as addressing trustworthiness at different architectural levels.
Moreover, the development of systems is becoming more and more incremental and practices like continuous integration and deployment are the ambition of many companies including those working with safety-critical systems. This implies that formal and model-driven techniques should support incremental verification thus enabling the continuous addition of new features while ensuring system trustworthiness.
The aims of this workshop are
- to advance the understanding in the area of developing and applying formal and model-driven techniques for designing trustworthy systems
- to discuss the emerging issues in the area
- to improve the dialog between different research communities and between academia and industry
- to discuss a roadmap of the future research in the area
- to create a forum for discussing and disseminating the new ideas and the research results in the area
We welcome new ideas, even though not completely validated, as well as experiences and lessons learned of using existing techniques in industry or in large open source projects.