On Some Properties of the Optimally Refined Proportional Sampling Strategy

نویسندگان

  • Fun Ting Chan
  • Tsong Yueh Chen
  • Jeng Kei Mak
  • Shir Ming Shen
چکیده

The optimally re"ned proportional sampling strategy has been recommended as a better alternative to random testing, when dividing the input domain into equal-sized partitions is easy. This paper investigates some properties of the optimally re"ned proportional sampling strategy. This investigation provides some useful information on how well the optimally re"ned proportional sampling strategy outperforms random testing.

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عنوان ژورنال:
  • Comput. J.

دوره 40  شماره 

صفحات  -

تاریخ انتشار 1997