Petri Net Models for Reliability Analysis of N-version Machine Learning Systems

This dataset contains six Deterministic and Stochastic Petri Net (DSPN) models in XML format, developed using TimeNET, for evaluating the reliability of N-version machine learning systems with and without rejuvenation mechanisms. The models cover 1-version, 2-version, and 3-version configurations, each provided in two variants: with rejuvenation (Rej) and without rejuvenation (noRej).