Abstract
The Monte-Carlo Method, described in the Guide for Uncertainty Measurement Supplement 1, is advocated by metrologists to evaluate the uncertainty of measurement. This method requires computational resources to generate random numbers, which is a limit for a common use compared with the GUM uncertainty framework. In order to popularize the Monte-Carlo method, LNE-MCM software was developed as a user-friendly software by the Laboratoire national de métrologie et d'essais. LNE-MCM is dedicated to the evaluation of measurement uncertainty using Monte Carlo simulations according to the principles of the supplement 1 to the GUM. Moreover, additional features are implemented: the case of multivariate models, sensitivity analysis to provide an uncertainty budget and a goodness-of-fit test for the samples of the output quantities. LNE-MCM is freely available on LNE's website since January 2016.