given measurement data simulation runs are carried out from a given time point until a final time point the forecast measurement data is determined for each simulation run measurement data for the final time point is predicted within a range of values which is determined by the forecast measurement data application_number US 86823901 A description in order to be able to forecast a number of expected errors in a technical process e g in a software development process non homogeneous poisson processes nhpp are calibrated i e matched to measurement data such as the occurrence of errors over time as follows the following equation describes a counting process associated with the stochastic point process non homogeneous poisson process and a time point t 0 defines the end of a test period i e a time point at which the given data ends the stochastic processes p u t u2266 n t u2212 n t 0 u2266 o t n t 0 n 0 u2267 u03b1 4 for all time points where t gt t 0 and given values u03b1 u03b5 0 1 confidence level and n 0 u03b5 n in particular the following text examines the increases in the stochastic countings process in relation to the time point t 0 in the present case where equation 1 represents a non homogeneous poisson process the following equation cf resnick p u2061 n u2061 t 1 n u2061 t 0 l exp u2061 i u2061 t 1 i u2061 t 0 u00b7 i u2061 t 1 i u2061 t 0 l l 5 i r u2192 r t u2192 i t en t 7 since the nature of the poisson process dictates that the increases error increases in this case are independent of previous increases.