  When developing a software system, a change in one part of the system may
lead to unwanted changes in other parts of the system. These affected parts may
interfere with system performance, so regression testing is used to deal with
these disorders. This test seeks to re-measure these sections to prevent these
abnormalities, but it is difficult to identify these sections for
re-examination. We try to cluster the changes of our software system based on
the system functions by singular value decomposition, to be able to use to
identify these parts during a new change, to perform the test again. In order
to increase speedup, our calculations were performed in parallel on shared
memory systems so that by increasing the scale of software systems, an optimal
answer could be obtained.
