  We consider a hidden Markov model with multiplicative noise emerging from
studies of software reliability. We show the stability of the optimal filter
with respect to general initial conditions in the total variation- and
$L^p$-norm and deduce explicit rates. Remarkably, stability turns out to be
independent of the ergodic behavior of the signal.
