A distance-based test cube merging procedure for compatible and incompatible test cubes

I. Pomeranz
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Abstract

Test compaction can be achieved by generating incompletely-specified tests (test cubes) and merging test cubes that are compatible. A test cube that is generated for one target fault specifies values that are needed for detecting only this fault. Compatible test cubes do not conflict in any of their specified values. When compatible test cubes ci0 and ci1 are merged, they yield a single test cube, ci0 +ci1 which detects all the faults that are detected by ci0 and ci1 individually. In addition, ci0 +ci1 may detect other faults. Thus, merging of test cubes yields test cubes that detect more faults, contributing to test compaction. After test cube merging, unnecessary test cubes may exist in the test set. Such test cubes can be identified by fault simulation followed by reverse order fault simulation.
兼容和不兼容测试多维数据集的基于距离的测试多维数据集合并过程
可以通过生成不完全指定的测试(测试数据集)和合并兼容的测试数据集来实现测试压缩。为一个目标故障生成的测试多维数据集指定仅检测此故障所需的值。兼容的测试多维数据集在其任何指定值中都不会发生冲突。当兼容的测试多维数据集ci0和ci1合并时,它们产生一个单独的测试多维数据集ci0 +ci1,它检测ci0和ci1分别检测到的所有故障。此外,ci0 +ci1还可以检测到其他故障。因此,合并测试数据集产生的测试数据集可以检测到更多的错误,从而有助于测试压缩。合并测试多维数据集后,测试集中可能存在不必要的测试多维数据集。这样的测试立方体可以通过故障模拟来识别,然后进行反向故障模拟。
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