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When developing a software system, a change in one part of the system maylead to unwanted changes in other parts of the system. These affected parts mayinterfere with system performance, so regression testing is used to deal withthese disorders. This test seeks to re-measure these sections to prevent theseabnormalities, but it is difficult to identify these sections forre-examination. We try to cluster the changes of our software system based onthe system functions by singular value decomposition, to be able to use toidentify these parts during a new change, to perform the test again. In orderto increase speedup, our calculations were performed in parallel on sharedmemory systems so that by increasing the scale of software systems, an optimalanswer could be obtained.

Parallelization of Software Systems Test Case Selection Algorithm Based on Singular Value Decomposition