© 1997 by British Computer Society
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On Some Properties of the Optimally Refined Proportional Sampling Strategy
1 School of Professional and Continuing Education, The University of Hong Kong, Hong Kong, 2 Department of Computer Science, University of Melbourne, Parkville 3052, Australia Email: tyc{at}cs.mu.oz.au, 3 Department of Statistics, The University of Hong Kong, Pokfulam Road, Hong Kong
The optimally refined 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 refined proportional sampling strategy. This investigation provides some useful information on how well the optimally refined proportional sampling strategy outperforms random testing.
Received April 23, 1997. revised July 7, 1997.