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Cyber-physical systems across application domains are getting increasingly complex, driven by five technological and market trends:
The consequences of increasing complexity are visible in daily practice in which Dutch industry struggles to efficiently develop correct and well-performing cyber-physical systems.
In line with TNOs goal to increase competitiveness of Dutch industry, my research aims to address increasing complexity through new model-based design methodologies. These are methodologies in which abstraction, provided by models used for specification, communication, analysis, simulation, or synthesis, play an essential role in reducing development time and overall system cost.
A key part of this research is to investigate how models can be used to automatically generate parts of complex systems that are guaranteed to provide the specified functionality at exactly the right time. For example, to ensure that an airbag immediately inflates correctly in the event of a car crash, which requires both correct and timely interactions between hardware and software.
A recent highlight is the publication of the first ever empirical survey-based study into industry practice in real-time systems. There is a great need for this line of research in the area of real-time systems to ensure that academic research can be conducted with a better understanding of the current state of the practice and future trends.
The four main contributions of this study are:
Triggered by our work, the Technical Committee on Real-time Systems (TCRTS) has extended the scope of the conferences it sponsors to include empirical research. It has also made a form where industry practitioners can register as TCRTS Industry Contacts, thereby contributing to making future survey-based studies easier to conduct and more reliable. This shows that the scientific impact of this work goes beyond just citations, but has also changed the scope of the field of real-time systems.