Investigating the dimensionality problem of Adaptive Random Testing incorporating a local search technique

@article{Schneckenburger2008InvestigatingTD,
  title={Investigating the dimensionality problem of Adaptive Random Testing incorporating a local search technique},
  author={Christoph Schneckenburger and Franz Schweiggert},
  journal={2008 IEEE International Conference on Software Testing Verification and Validation Workshop},
  year={2008},
  pages={241-250}
}
Adaptive random testing (ART) has been proposed to enhance the effectiveness of random testing. By spreading test cases evenly within the input domain, ART techniques may reduce the number of test cases necessary to detect the first failure by up to 50%. However, the most effective ART strategies are little effective in higher dimen- sions. This fact distinctly affects their applicability since in a real testing area input domains usually are far from being one- or two-dimensional. The present… CONTINUE READING

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