Boundary Value Testing [7] - Software Testing Techniques (CIS640)
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Slides from Software Testing Techniques course offered at Kansas State University in Spring'16 and Spring'17. Entire course material can be found at https://github.com/rvprasad/software-testing-course.
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Applications
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• Distribution: Non-Normal (Distribution free)
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Example: If there are two groups, one of which has received oral hygiene instructions and the other has not received any instructions and if it is desired to test if the occurrence of new cavities is associated with the instructions.
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• Used to calculate the exact probability of finding the observed numbers by using the fischer exact probability test.
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• For each subject, subtract the 2nd score from the 1st, and write down the sign of the difference.
It can be used
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http://research.microsoft.com/apps/pubs/default.aspx?id=1883
http://research.microsoft.com/en-us/events/dapse2013/
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- 2. Normal Boundary Value Testing (1 variable) a <= m <= b b-1 a b a+1 c m The dots denote the test values for m
- 3. Normal Boundary Value Testing (1 variable) Given a <= m <= b, • Test cases within limits • m == a+1 • m == c (a < c < b) • m == b-1 • Test cases at limits • m == a • m == b
- 4. Robust Boundary Value Testing (1 variable) b-1 a <= m <= b a b a+1 c a-1 b+1 m The dots denote the test values for m
- 5. Robust Boundary Value Testing (1 variable) Given a <= m <= b, • Test cases within limits • m == a+1 • m == c (a < c < b) • m == b-1 • Test cases at limits • m == a • m == b • Test case beyond limits • m == a-1 • m == b+1
- 6. a<=m<=b c<=n<=d d c a b Normal Boundary Value Testing (2 variables)
- 7. d c a b Robust Boundary Value Testing (2 variables) a<=m<=b c<=n<=d
- 8. Worst-case Boundary Value Testing (2 variables) d c a b a<=m<=b c<=n<=d
- 9. Robust Worst-case Boundary Value Testing d c a b a<=m<=b c<=n<=d
- 10. Boundary Value Testing • Normal boundary value testing (including robust variant) relies on the single-fault assumption • failures are rarely the result of the simultaneous occurrence of two (or more) faults • To generate test cases, while holding all variables at a valid value, consider valid and boundary values for a variable • 4n+1 (6n+1) test cases result from normal (robust) boundary value testing where n is the number of variables
- 11. Boundary Value Testing • Worst-case boundary value testing (including robust variant) does not rely on the single-fault assumption • failures can result from simultaneous occurrences of two (or more) faults • To generate test cases, consider all combinations of valid and boundary values for all variables • 5n (7n) test cases result from worst-case (robust worst-case) boundary value testing where n is the number of variables
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