Test suite optimization aims at satisfying all testing objectives with the least number of test cases.
测试用例集优化的目标是用尽可能少的测试用例充分满足给定的测试目标。
According to the given testing objectives, the reduced testing requirement set can improve the effectiveness and efficiency of test suite optimization.
针对给定的测试目标，获得精简的测试需求集有助于提高测试用例集优化的效率和效果。
According to the given testing objectives, the reduced testing requirement set can improve the effectiveness and efficiency of test suite optimization.
测试用例集优化的目标是用尽可能少的测试用例充分满足给定的测试目标。
Based on the model, this paper presents a testing requirement reduction method to generate the reduced testing requirement set, which is the basis of test suite generation, reduction and optimization.
基于此模型，提出一种测试需求约简方法，可以获得精简测试需求集，作为测试用例集生成和约简的基础，从而实现测试用例集优化。
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.
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.
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。
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