Motivation and Scope
Advanced computing systems are increasingly adopted to generate productivity gains, improve well-being and help experts to address challenges in various application domains, including mobility, healthcare, cyber-security, industrial robots, autonomous vehicles, cloud-based services, and IoT. Such systems often operate in dynamic, highly complex, partially observable environments and they are affected by external uncertainty as well as internal uncertainty, very often due to “intelligent” and “learning” components that are becoming established and effective for making predictions, recommendations or decisions that influence the surroundings.
As a consequence, the design and development of these systems require proper approaches, methodologies, abstractions and architectural design solutions integrating together heterogeneous elements such as networking, computation, engineered physical elements, AI/ML components, and human beings into complex ecosystems. Assuring dependability, trustworthiness and other important qualities of such systems yield challenges that call for novel and formal approaches to system design, development, validation, and verification. Indeed, an unexpected exposure of users to unwanted behaviors, such as threats to confidentiality or even financial or health danger, is highly undesirable.
The goal of the workshop is to foster integration between formal methods and software architectures, which allows for promoting new connections and synergies between the two research communities. An integrated research will help them address the challenges of the upcoming generation of advanced computing systems in the modern digital society.
