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Cyber-physical systems (CPS) break with traditional systems such as desktop computers and servers, in various ways: (1) they are instrumented in order to interact with physical environments; (2) they are interconnected to allow interaction between people and objects in entirely new modes; (3) they must be smart to ensure predictability of events and optimal use of resources. Currently, we lack theory methods and tools for building cost-effectively trustworthy CPS. In this talk, I will show how and why CPS challenge our capabilities for ensuring their trustworthiness. I will advocate for a coherent scientific foundation of CPS design and will discuss three main scientific challenges: (1) Marrying physicality and computation; (2) Correctness-by-construction; (3) Adaptivity. Meeting these challenges is a prerequisite for moving from empirical to rigorous design. This can be formalized as a sound, scalable and accountable process leading to trustworthy and optimized implementations from: (1) an application software; (2) models of its execution infrastructure; and (3) models of its physical environment. Soundness is achieved through translation of the languages used along the design process into a single and expressive host language rooted in clean operational semantics. Scalability and accountability can be ensured by using correct-by-construction source-to-source transformations in the host language. The talk will conclude with an overview of the BIP rigorous design flow developed at Verimag and EPFL.
Pedro Miguel Nunes Pereira de Almeida Reis, Tian Chen, Arefeh Abbasi, Bastien Freddy Gustave Aymon
Daniel Gatica-Perez, Lakmal Buddika Meegahapola
Denis Gillet, Maria Jesus Rodriguez Triana