When testing software functions, it is necessary to adopt scientific and reasonable test cases to ensure the accuracy of test results, so as to lay a good foundation for the operation and use of software. Based on this, this paper designs a new algorithm FICBPR on the basis of the traditional abstract test case set optimization sorting algorithm (FICBP) based on repeated one-dimensional combination coverage, and analyzes the application effect of the algorithm through empirical analysis. Through verification, it can be found that the FICBPR algorithm has lower error rate and shorter time overhead, and its performance and efficiency are significantly better than the traditional FICBP algorithm.
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