针对回归测试中测试用例最小化问题，将粒子群优化算法和随机算法相结合，提出一种二维随机粒子群优化算法，用来解决测试用例最小化的问题。

A hybrid algorithm is proposed by combining Particle Swarm optimization (PSO) algorithm with a stochastic optimization method, for solving the test suite minimization problem in regression test.

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结果表明，本文提出的用例最小化技术能有效缩减回归测试用例集，大幅度降低回归测试费用。

The results show that, genetic algorithms can significantly reduce the size and the cost of the test-suite for regression testing, and achieves good cost-effectiveness.

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结果表明，本文提出的用例最小化技术能有效缩减回归测试用例集，大幅度降低回归测试费用。

The results show that, genetic algorithms can significantly reduce the size and the cost of the test-suite for regression testing, and achieves good cost-effectiveness.

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