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2010

Efficient Software Verification: Statistical Testing Using Automated Search

8 years 2 months ago
Efficient Software Verification: Statistical Testing Using Automated Search
Statistical testing has been shown to be more efficient at detecting faults in software than other methods of dynamic testing such as random and structural testing. Test data are generated by sampling from a probability distribution chosen so that each element of the software's structure is exercised with a high probability. However, deriving a suitable distribution is difficult for all but the simplest of programs. This paper demonstrates that automated search is a practical method of finding near-optimal probability distributions for real-world programs, and that test sets generated from these distributions continue to show superior efficiency in detecting faults in the software.
Simon M. Poulding, John A. Clark
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TSE
Authors Simon M. Poulding, John A. Clark
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