Marcel Oliveira

2papers

2 Papers

SEMay 20, 2020
A refinement checking based strategy for component-based systems evolution

José Dihego, Augusto Sampaio, Marcel Oliveira

We propose inheritance and refinement relations for a CSP-based component model (BRIC), which supports a constructive design based on composition rules that preserve classical concurrency properties such as deadlock freedom. The proposed relations allow extension of functionality, whilst preserving behavioural properties. A notion of extensibility is defined on top of a behavioural relation called convergence, which distinguishes inputs from outputs and the context where they are communicated, allowing extensions to reuse existing events with different purposes. We mechanise the strategy for extensibility verification using the FDR4 tool, and illustrate our results with an autonomous healthcare robot case study.

SEMay 13, 2020
The CLEARSY Safety Platform: 5 Years of Research, Development and Deployment

Thierry Lecomte, David Deharbe, Paulin Fournier et al.

The CLEARSY Safety Platform (CSSP) was designed to ease the development of safety critical systems and to reduce the overall costs (development, deployment, and certification) under the pressure of the worldwide market. A smart combination of hardware features (double processor) and formal method (B method and code generators) was used to produce a SIL4-ready platform where safety principles are built-in and cannot be altered by the developer. Summarizing a 5-year return of experience in the effective application in the railways, this article explains how this approach is a game-changer and tries to anticipate the future of this platform for safety critical systems. In particular, the education of future engineers and the seamless integration in existing engineering processes with the support of Domain Specific Languages are key topics for a successful deployment in other domains. DSL like Robosim to program mobile robots and relay circuits to design railway signalling systems are connected to the platform.