Software test is a reliable technological means of guaranteeing software quality. General testing methods divide testing input values into a number of sectors according to certain rules, and then they choose a figure from each sector as testing data. However, if inappropriately divided, the probability of at least one error is lower than that of random testing which uses the equivalent number of cases. In light of the problem, the article puts forward a measurement method of describing ideal testing division via testing interdependency. By means of reasonable testing division, the testing effect on software models can get improved.
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