Safe tasks: Run time verification of the RTFM-lang model of computation

Embedded systems for critical applications are typically specified with requirements on predictable timing and safety. While ensuring predictable timing, the RTFM-lang (Real-Time For the Masses) model of computation (MoC) currently lacks memory access protection among real-time tasks. In this paper, we discuss how to safely verify task execution given a specification using the RTFM-MoC. Furthermore, an extension to the RTFM-core infrastructure is outlined and tested with use cases of embedded development. We propose a method for run time verification exploiting memory protection hardware. For this purpose, we introduce memory resources to the declarative language RTFM-core allowing compliance checks. As a proof of concept, compiler support for model analysis and automatic generation of run time verification code is implemented together with an isolation layer for the RTFM-kernel. With this verification foundation, functional run time checks as well as further overhead assessments are future research questions.