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Functions like memset are susceptible to exhaustive tests because they are simple enough that one can prove that the test cases exercise all possible execution paths through the code, thus giving complete coverage For example, it is possible to test memmove for all combinations of overlap, direction, and alignment This is not exhaustive in the sense of testing all possible copy operations, but it is an exhaustive test of representatives of each kind of distinct input situation As in any testing method, test scaffolds need the correct answer to verify the operations they are testing An important technique, which we used in testing memset, is to compare a simple version that is believed correct against a new version that may be incorrect This can be done in stages, as the following example shows One of the authors implemented a raster graphics library involving an operator that copied blocks of pixels from one image to another Depending on the parameters, the operation could be a simple memory copy, or it could require converting pixel values from one color space to another, or it could require "tiling" where the input was copied repeatedly throughout a rectangular area, or combinations of these and other features The specification of the operator was simple, but an efficient implementation would require lots of special code for the many cases To make sure all that code was right demanded a sound testing strategy First simple code was written by hand to perform the correct operation for a single pixel This was used to test the library version's handling of a single pixel Once this stage was working, the library could be trusted for single- pixel operations Next, hand-written code used the library a pixel at a ime to build a very slow version of the operator that worked on a single horizontal row of pixels, and that was compared with the library's much more efficient handling of a row With that working, the library could be trusted for horizontal lines This sequence continued, using lines to build rectangles, rectangles to build tiles, and so on Along the way, many bugs were found, including some in the tester itself, but that's part of the effectiveness of the method: we were testing two independent implementations, building confidence in both as we went If a test failed, the tester printed out a detailed analysis to aid understanding what went wrong, and also to verify that the tester was working properly itself As the library was modified and ported over the years, the tester repeatedly proved invaluable for finding bugs Because of its layer-by-layer approach, this tester needed to be run from scratch each time, to verify its own trust of the library Incidentally, the tester was not exhaustive, but probabilistic: it generated random test cases which, for long enough runs, would eventually explore every cranny of the code With the huge number of possible test cases, this strategy was more effective than trying to construct a thorough test set by hand, and much more efficient than exhaustive testing.

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