Method for selecting regression test case for clustering with semi-supervised information
A test case and regression test technology, applied in the regression test case selection using semi-supervised information for clustering, program behavior cluster analysis, can solve the problems of insufficient utilization, poor performance of quantity and error detection ability, etc., to achieve Accurate effect of clustering results
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[0035] The invention is a regression test case selection method for clustering using semi-supervised information. First of all, there is an original version of the program and multiple modified versions of the program for regression testing. The original version of the program has been tested, corresponding to a set of test cases, and multiple modified versions are to be regression tested. On the original version of the program under test, all test cases in the test case set should have been executed before, so the execution coverage information of these test cases can be recorded as test history information. Subsequently, samples are randomly selected from the test case set at a certain ratio, and the test results of the modified version are used to deduce the constraint relationship between the test cases in the sample and calculate the projection matrix, which will be obtained based on the original version program test The function execution profile matrix is projected in...
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