Through the forward slicing of modified points in the model , the modified and affected parts can be gotten , then traverse these parts and get affected testing path , thereby regression testing examples can be chosen effectively , the efficiency of regression testing can be improred 通過對該模型中修改點的向前切片,得到修改所影響的部分,然后遍歷該部分得到修改所影響的測試路徑,進而有效地選擇回歸測試用例,提高了回歸測試的效率。
Firstly using a modified points matching method based on genetic algorithm to find the best minutiae corresponding relations which having the most matching pairs and minimum matching error . then reason the matching score based on defined fuzzy logic relations between the number of matching pairs , the matching error and the matching score 用改進的基于遺傳算法的點匹配算法求出使對應點數(shù)目最多、匹配誤差最小的細節(jié)點對應關系,根據(jù)得到的對應點數(shù)目和匹配誤差大小利用自定義的模糊邏輯規(guī)則推理出匹配分值。