In this paper we propose an on-line test methodology for RO-PUF reliability which enables high accuracy in the results since it is not based on predictive simplified models of the device variability and noise, but on actual technological electrical models and high versatility since it is not based on measurements extracted from a single technology.

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The need to achieve statistically relevant results in electrical simulations requires a large number of iterations under different operating conditions. Moreover, the nature of parametric simulations makes the collection and filtering of the results non-trivial. To tackle these issues, scripts are normally used to control all the parameters. Still, this approach is usually ad-hoc and platform dependent, making the whole procedure hardly reusable, scalable and versatile. We propose a generic, opensource framework to generate complex stimuli and parameters for electrical simulations, together with a programmable Spiceand Verilog-A-based module capable of observing and logging internal states of the circuit to facilitate further result analysis.