Objetivo "A longstanding question in the design of programming languages is how to balance safety and control. C-like languages give programmers low-level control over resource management at the expense of safety, whereas Java-like languages give programmers safe high-level abstractions at the expense of control.Rust is a new language developed at Mozilla Research that marries together the low-level flexibility of modern C++ with a strong ""ownership-based"" type system guaranteeing type safety, memory safety, and data race freedom. As such, Rust has the potential to revolutionize systems programming, making it possible to build software systems that are safe by construction, without having to give up low-level control over performance.Unfortunately, none of Rust's safety claims have been formally investigated, and it is not at all clear that they hold. To rule out data races and other common programming errors, Rust's core type system prohibits the aliasing of mutable state, but this is too restrictive for implementing some low-level data structures. Consequently, Rust's standard libraries make widespread internal use of unsafe blocks, which enable them to opt out of the type system when necessary. The hope is that such unsafe code is properly encapsulated, so that Rust's language-level safety guarantees are preserved. But due to Rust's reliance on a weak memory model of concurrency, along with its bleeding-edge type system, verifying thatRust and its libraries are actually safe will require fundamental advances to the state of the art.In this project, we aim to equip Rust programmers with the first formal tools for verifying safe encapsulation of unsafe code. Any realistic languages targeting this domain in the future will encounter the same problem, so we expect our results to have lasting impact. To achieve this goal, we will build on recent breakthrough developments by the PI and collaborators in concurrent program logics and semantic models of type systems." Ámbito científico engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemsnatural sciencescomputer and information sciencessoftwaresoftware applicationssystem software Programa(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Tema(s) ERC-CoG-2015 - ERC Consolidator Grant Convocatoria de propuestas ERC-2015-CoG Consulte otros proyectos de esta convocatoria Régimen de financiación ERC-COG - Consolidator Grant Institución de acogida MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV Aportación neta de la UEn € 1 946 250,00 Dirección HOFGARTENSTRASSE 8 80539 Munchen Alemania Ver en el mapa Región Bayern Oberbayern München, Kreisfreie Stadt Tipo de actividad Research Organisations Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 1 946 250,00 Beneficiarios (1) Ordenar alfabéticamente Ordenar por aportación neta de la UE Ampliar todo Contraer todo MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV Alemania Aportación neta de la UEn € 1 946 250,00 Dirección HOFGARTENSTRASSE 8 80539 Munchen Ver en el mapa Región Bayern Oberbayern München, Kreisfreie Stadt Tipo de actividad Research Organisations Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 1 946 250,00
