Talos 2027&2028

Industrial challenge

The current testing approach for complex cyber-physical systems still depends heavily on manual work and scarce expert knowledge. At the same time, growing variability in software, hardware, configurations, and operational context leads to a rapid increase in relevant test situations, while existing test automation still provides limited support for risk analysis, test selection, and high-quality automated test generation.

Foundation in earlier results

In Mátala, TNO-ESI and ASML developed a methodology for risk-driven offline model-based testing, supported by tooling for modelling, simulation, and automated test generation. In the ASML VirtualFab context, this approach showed improved coverage, faster test development, and better defect detection compared with traditional manual testing methods.

Innovation in Talos

Talos extends this approach towards model-based exploratory testing, aimed at generating valid but unforeseen test scenarios. By using field data, defect history, automated test verdicts, and meaningful coverage metrics, the project aims to detect defects beyond known risks and to strengthen the broader applicability of advanced testing methodologies in the high-tech industry.