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Automatic string test data generation for detecting domain errors

机译:自动字符串测试数据生成以检测域错误

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摘要

Domain testing is designed to detect domain errors that result from a small boundary shift in a path domain. Although many researchers have studied domain testing, automatic domain test data generation for string predicates has seldom been explored. This paper presents a novel approach for the automatic generation of ON-OFF test points for string predicate borders, and describes a corresponding test data generator. Our empirical work is conducted on a set of programs with string predicates, where extensive trials have been done for each string predicate, and the results are analysed using the SPSS tool. Conclusions are drawn that: (ⅰ) the approach is promising and effective; (ⅱ) there is a strong linear relationship between the performance of the test generator and the length of target string in the predicate tested; and (ⅲ) initial inputs, no shorter than the target string and with characters generated randomly, may enhance the performance in the test data generation for string predicates.
机译:域测试旨在检测由于路径域中的较小边界偏移而导致的域错误。尽管许多研究人员已经研究了域测试,但很少研究用于字符串谓词的自动域测试数据生成。本文提出了一种自动生成字符串谓词边界的ON-OFF测试点的新颖方法,并介绍了相应的测试数据生成器。我们的经验工作是在一组带有字符串谓词的程序上进行的,其中每个字符串谓词都进行了广泛的试验,并使用SPSS工具对结果进行了分析。得出以下结论:(ⅰ)该方法是有前途且有效的; (ⅱ)测试生成器的性能与测试谓词中目标字符串的长度之间存在很强的线性关系; (ⅲ)不小于目标字符串并带有随机生成字符的初始输入,可以增强字符串谓词在测试数据生成中的性能。

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