In this paper we present our solution to master the complexity of product adaption cycles of a medical X-ray control unit. We present the real hardware and software platform and our mapping of it to a virtual X-ray control unit, implemented as our hardware-software co-simulation. To reduce complexity for hardware developers, we developed our own XML-based abstract system description language which is mapped onto instantiations of parameterizable SystemC template modules. We verified the correctness of our virtual X-ray control unit by co-simulating unmodified software to hardware components, which we implemented in our system description language from the specification of the real system. Due to reduced complexity of our virtual X-ray control unit, it can be used as a time and cost saving test platform for future hardware and software adaption cycles.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.