In a complex cross-linked system, such as a motor control unit, a module can have inputs from other modules or sensors. Similarly, its output variables can flow into other modules, memories and actuators.
Finding the correct levers for an overall improvement in such complex systems is very sophisticated and hardly possible without computer assistance.
For this type of tasks the experienced quality experts and methodology specialists at CONTEXT have developed the network risk analysis (NRA).
- Illustration of the software aggregates' and software modules' risk potential within cross-linked systems – as well as of control units
- Illustration of the software modules' efficiencies and analysis of impact chains, starting from individual software modules
- Conclusions on the reliability of input variables into the overall system
- Identification of optimization potentials to reduce the risk within the overall system
- Illustration of the considered system's complexity by documentation of a function network
- Supporting the analysis of cross-linked systems and evaluating all system modules using our specially developed questionnaire with the aim of getting an overview of the risks of all individual modules
- Realistic correlating of all system modules with the help of our developed network risk analysis (NRA) and computer-aided identification of the individual risks' impact on other modules and the entire network
- Concluding which system modules have particularly strong impact on other modules and/or the entire system and capacitating to intervene and to improve