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Using computational learning theory to analyze the testing complexity of program segments

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2 Author(s)
Romanik, K. ; Sch. of Comput. Sci., McGill Univ., Montreal, Que., Canada ; Vitter, J.S.

We examine the complexity of testing different program constructs by defining a measure called VCP-dimension and applying it to classes of programs, where all programs in a class share the same syntactic structure. VCP-dimension gives bounds on the number of test points needed to determine approximate correctness, so it gives insight into the difficulty of testing a program construct represented by a program class. We investigate the VCP-dimension of straight line code, if-then-else statements and for loops, and we compare the VCP-dimension of different combinations of constructs

Published in:

Computer Software and Applications Conference, 1993. COMPSAC 93. Proceedings., Seventeenth Annual International

Date of Conference:

1-5 Nov 1993