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In the pseudocode in Example 10.3, there are multiple conditions in each decision statement. Primitives that are not executed because of lazy evaluation are shown with an X .

Fig. 6-34

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28 0 28 10 28 20 28 30 28 40 28 50 29 0 29 10 29 20 29 30 29 40 29 50 30 0 30 10 30 20 30 30 30 40 30 50 31 0 31 10 31 20 31 30 31 40 31 50 32 0 32 10 32 20 32 30 32 40 32 50 33 0 33 10 33 20 33 30 33 40 33 50

Figure 6-35 shows x [ n ] and its N-point DFT X [ k ] .

A compiler does lazy evaluation when it does not generate code for tests that are not needed. For example, if the rst condition of an or expression is true, the second condition does not need to be tested.

Fig. 6-35

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0.4695 0.4720 0.4746 0.4772 0.4797 0.4823 0.4848 0.4874 0.4899 0.4924 0.4950 0.4975 0.5000 0.5025 0.5050 0.5075 0.5100 0.5125 0.5150 0.5175 0.5200 0.5225 0.5250 0.5275 0.5299 0.5324 0.5348 0.5373 0.5398 0.5422 0.5446 0.5471 0.5495 0.5519 0.5544 0.5568

Possible Test Case 3,3,4 4,3,3 3,4,3 3,4,5

x[n]= {l,O,- 1,O)

if(a>=b+c||b>=a+c||c>=a+b) Combination TXX FTX FFT FFF Possible Test Case 8,4,3 4,8,3 4,3,8 3,3,3 Branch G-H G-H G-H G-I

h [ n ] = ( l I , 1 ~1 , ~ , ~ )

0.8829 0.8816 0.8802 0.8788 0.8774 0.8760 0.8746 0.8732 0.8718 0.8704 0.8689 0.8675 0.8660 0.8646 0.8631 0.8616 0.8601 0.8587 0.8572 0.8557 0.8542 0.8526 0.8511 0.8496 0.8480 0.8465 0.8450 0.8434 0.8418 0.8403 0.8387 0.8371 0.8355 0.8339 0.8323 0.8307

~ [ n=]

if(a<=0||b<=0||c<=0) Combination TXX FTX FFT FFF Possible Test Case 0,4,5 4, 2, 2 5,4, 3 3,3,3 Branch I-J I-J I-J I-K

sin [( R - R,) ~ / 2 ] sin[(R - R , ) / 2 ]

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Subdomain testing is the idea of partitioning the input domain into mutually exclusive subdomains and requiring an equal number of test cases from each subdomain. This was basically the idea behind the test matrix. Subdomain testing is more general in that it does not restrict how the subdomains are selected. Generally, if there is a good reason for picking the subdomains, then they may be useful for testing. Additionally, the subdomains from other approaches might be subdivided into smaller subdomains. Theoretical work has shown that subdividing subdomains is only e ective if it tends to isolate potential errors into individual subdomains. Every-statement coverage and every-branch coverage are not subdomain tests. There are not mutually exclusive subdomains related to the execution of di erent statements or branches. Every-path coverage is a subdomain coverage, since the subdomain of test cases that execute a particular path through a program is mutually exclusive with the subdomain for any other path.

0.5317 0.5354 0.5392 0.5430 0.5467 0.5505 0.5543 0.5581 0.5619 0.5658 0.5696 0.5735 0.5774 0.5812 0.5851 0.5890 0.5930 0.5969 0.6009 0.6048 0.6088 0.6128 0.6168 0.6208 0.6249 0.6289 0.6330 0.6371 0.6412 0.6453 0.6494 0.6536 0.6577 0.6619 0.6661 0.6703

From Eq. (6.92)

For the triangle problem, we might start with a subdomain for each output. These might be further subdivided into new subdomains based on whether the largest or the bad element is in the first position, second position, or third position (when appropriate).

X [ k ] = DFT{x[n])

Subdomain Equilateral Isos rst Isos sec Isos third Scalene rst Scalene sec Scalene third

6.54. T h e DFT definition in Eq. (6.92) can be expressed in a matrix operation form as X=WNx (6.206)

1.8807 1.8676 1.8546 1.8418 1.8291 1.8165 1.8040 1.7917 1.7796 1.7675 1.7556 1.7437 1.7321 1.7205 1.7090 1.6977 1.6864 1.6753 1.6643 1.6534 1.6426 1.6319 1.6212 1.6107 1.6003 1.5900 1.5798 1.5697 1.5597 1.5497 1.5399 1.5301 1.5204 1.5108 1.5013 1.4919

The N x N matrix WN is known as the D F T matrix. Note that WN is symmetric; that is, W z = WN, where W is the transpose of WN. :

Possible Test Case 3,3,3 8,5,5