  Providing high quality software and evaluating the software reliability in
softwarized networks are crucial for vendors and customers. These networks rely
on open source code, which are sensitive to contain high number of bugs. Both,
the knowledge about the code of previous releases as well as the bug history of
the particular project can be used to evaluate the software reliability of a
new software release based on SRGM. In this work a framework to predict the
number of the bugs of a new release, as well as other reliability parameters,
is proposed. An exemplary implementation of this framework to two particular
open source projects, is described in detail. The difference between the
prediction accuracy of the two projects is presented. Different alternatives to
increase the prediction accuracy are proposed and compared in this paper.
