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Australian Software Engineering Conference
On the Test Allocations for the Best Lower Bound Performance of Partition Testing
Adelaide, South Australia
November 09-November 13
ISBN: 0-8186-9187-5
T.Y. Chen, The University of Melbourne
Y.T. Yu, City University of Hong Kong
A partition testing strategy divides the program's input domain into subdomains according to a partitioning scheme, and selects test cases from each subdomain according to a test allocation scheme. Previous studies have shown that partition testing strategies can be very effective or very ineffective in detecting faults, depending on both the partitioning scheme and the test allocation scheme. Given a partitioning scheme, the maximin criterion chooses a test allocation scheme that will maximally improve the lower bound performance of the partition testing strategy. In an earlier work, we have proved that the Basic Maximin Algorithm can generate such a test allocation scheme. In this paper, we derive further properties of the Basic Maximin Algorithm and present the Complete Maximin Algorithm that generates all possible test allocation schemes that satisfy the maximin criterion.
Index Terms:
partition testing, optimal test distribution, software testing, test allocation
Citation:
T.Y. Chen, Y.T. Yu, "On the Test Allocations for the Best Lower Bound Performance of Partition Testing," aswec, pp.160, Australian Software Engineering Conference, 1998
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