@inproceedings{37009,
  abstract     = {{Today, mobile and embedded real time systems have to cope with the migration and allocation of multiple software tasks running on top of a real time operating system (RTOS) residing on one or several processors. For scaling of each task set and processor configuration, instruction set simulation and worst case timing analysis are typically applied. This paper presents a complementary approach for the verification of RTOS properties based on an abstract RTOS-Model in SystemC. We apply IEEE P1850 PSL for which we present an approach and first experiences for the assertion-based verification of RTOS properties.}},
  author       = {{Oliveira, Marcio F. S. and Zabel, Henning and Müller, Wolfgang}},
  booktitle    = {{Proceedings of DATE’10}},
  keywords     = {{Operating systems, Real time systems, Timing, Hardware, Analytical models, Embedded software, Software systems, Processor scheduling, Software performance, Performance analysis}},
  location     = {{Dresden}},
  publisher    = {{IEEE}},
  title        = {{{Assertion-Based Verification of RTOS Properties}}},
  doi          = {{10.1109/DATE.2010.5457130}},
  year         = {{2010}},
}

@inproceedings{37066,
  abstract     = {{Today, mobile and embedded real-time systems have to cope with the migration and allocation of multiple software tasks running on top of a real-time operating system (RTOS) residing on one or multiple system processors. Abstract RTOS simulations and timing analysis applies for fast and early estimation to configure it towards the individual needs of the application and environment. In this context, a high accuracy of the simulation compared to an instruction set simulation (ISS) is of key importance. In this paper, we investigate the accuracy of abstract RTOS simulation and compare it to ISS and the behavior of the physical system. We show that we can reach an increased accuracy of the simulation when we inject noise into the time model. Our results indicate that it is sufficient to inject uniformly distributed random time values to the RTOS real-time clock.}},
  author       = {{Zabel, Henning and Müller, Wolfgang}},
  booktitle    = {{Proceedings of DATE'09}},
  isbn         = {{978-1-4244-3781-8}},
  keywords     = {{Timing, Analytical models, Clocks, Performance analysis, Scheduling, Operating systems, Delay, Real time systems, Application software, Context modeling}},
  title        = {{{Increased Accuracy through Noise Injection in Abstract RTOS Simulation}}},
  doi          = {{10.1109/DATE.2009.5090925}},
  year         = {{2009}},
}