Generating Sound and Resource-Aware Code from Hybrid System Models

Modern real-time embedded systems are complex, distributed, feature-rich applications. Model-based development of real-time embedded systems promises to simplify and accelerate the implementation process. Although there are appropriate models to design such systems and some tools that support automatic code generation from such models, several issues related to ensuring correctness of the implementation with respect to the model remain to be addressed. In this work, we investigate how we can derive sampling rates for distributed real-time systems generated from a hybrid systems model such that there are no switching discrepancies and the resources spent in achieving this are a minimum. Of particular interest are the resulting mode switching semantics and we propose an approach to handle faulty transitions and compute execution rates for minimizing missed transitions. As a guiding example for our approach, we describe a hybrid systems model for vehicle coordination in which one vehicle acts as a leader and a second follows the leader guaranteeing to maintain a safe distance between the two vehicles. Comments Reprinted from the 2nd Workshop on Advanced Automotive Software and Systems Development (ASWSD 2006), University of California, San Diego, March 15-17, 2006 This conference paper is available at ScholarlyCommons: http://repository.upenn.edu/cis_papers/247 Generating Sound and Resource-Aware Code From Hybrid Systems Models Madhukar Anand, Jesung Kim, Sebastian Fischmeister, Insup Lee Department of Computer and Information Science School of Engineering and Applied Sciences University of Pennsylvania {anandm,jesung,lee}@cis.upenn.edu, [email protected] Abstract. Modern real-time embedded systems are complex, distributed, feature-rich applications. Model-based development of real-time embedded systems promises to simplify and accelerate the implementation process. Although there are appropriate models to design such systems and some tools that support automatic code generation from such models, several issues related to ensuring correctness of the implementation with respect to the model remain to be addressed. In this work, we investigate how we can derive sampling rates for distributed real-time systems generated from a hybrid systems model such that there are no switching discrepancies and the resources spent in achieving this are a minimum. Of particular interest are the resulting mode switching semantics and we propose an approach to handle faulty transitions and compute execution rates for minimizing missed transitions. As a guiding example for our approach, we describe a hybrid systems model for vehicle coordination in which one vehicle acts as a leader and a second follows the leader guaranteeing to maintain a safe distance between the two vehicles. Modern real-time embedded systems are complex, distributed, feature-rich applications. Model-based development of real-time embedded systems promises to simplify and accelerate the implementation process. Although there are appropriate models to design such systems and some tools that support automatic code generation from such models, several issues related to ensuring correctness of the implementation with respect to the model remain to be addressed. In this work, we investigate how we can derive sampling rates for distributed real-time systems generated from a hybrid systems model such that there are no switching discrepancies and the resources spent in achieving this are a minimum. Of particular interest are the resulting mode switching semantics and we propose an approach to handle faulty transitions and compute execution rates for minimizing missed transitions. As a guiding example for our approach, we describe a hybrid systems model for vehicle coordination in which one vehicle acts as a leader and a second follows the leader guaranteeing to maintain a safe distance between the two vehicles.