Complexity also increases in response to emerging new technologies, e.g., AI. This growing complexity affects all phases of system development, from early architecting to implementation, verification, and evolution. It also affects the whole system life cycle, including its usage and disposal, which, in turn, influence the system design. Failure to manage this complexity can lead to errors, delays, and cost overruns for companies, impacting the leading position of the Dutch high-tech equipment industry and, ultimately, the country's earning capacity. The problem is exacerbated by a shortage of skilled people, requiring a substantial boost in engineers' productivity over the next decade to allow the efficient development of next-generation systems. This boost cannot happen without new engineering methodologies guiding, automating, and optimizing all the system architecting, design, and maintenance phases.

In this track, we welcome contributions that address challenges in engineering cyber-physical systems, including but not limited to the following:

• System architecting: Architect systems to effectively address ever-increasing market demands, expanding products features and diverse technology choices.

• System dependability: Ensure system availability, reliability, and maintainability to build robust and dependable systems.

• System evolvability: Help engineers correctly and efficiently change their (software) systems, and prolong the useful and economic lifespan of products and systems.

• System context: Leverage adaptive design, simulation, diagnostics, and digital twin technology to ensure systems operate effectively within their context.

• System performance: Focus on modelling, analysis, optimization, and verification to satisfy non-functional requirements, such as timing and energy efficiency.

Due to the urgent nature of the abovementioned challenges, contributions from those areas are particularly encouraged.