We propose an approach for timing analysis of software-based embedded computer systems that builds on the established probabilistic framework of Bayesian networks. We envision an ...
Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....
Abstract. Emergency networks normally operate under highly unpredictable wireless environment and hence real time performance information holds a great significance that cannot be...
Shuprabha Shakya, Mohammad Abdul Awal, Dwijendra K...
Abstract. We provide a framework for distributed systems that impose timing constraints on their executions. We propose a timed model of communicating finite-state machines, which...
Abstract. Statically estimating the worst case execution time of a program is important for real-time embedded software. This is difficult even in the programming language level du...