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Checking the Input Domain Model in Software Deploy pdf417 2d barcode in Software Checking the Input Domain Model




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4.1.6 Checking the Input Domain Model generate, create pdf417 2d barcode none with software projects QR Code Safe Use It is important to check PDF 417 for None the input domain model. In terms of characteristics, the test engineer should ask whether there is any information about how the function behaves that is not incorporated in some characteristics. This is necessarily an informal process.

The tester should also explicitly check each characteristic for the completeness and disjointness properties. The purpose of this check is to make sure that, for each characteristic, not only do the blocks cover the complete input space, but selecting a particular block implies excluding all other blocks in that characteristic. If multiple IDMs are used, completeness should be relative to the portion of the input domain that is modeled in each IDM.

When the tester is satis ed with the. Table 4.5. Correct geomet ric partitioning of TriTyp s inputs (functionality-based).

Partition q1 = Geometric PDF 417 for None Classi cation b1 scalene b2 isosceles, not equilateral b3 equilateral b4 invalid. Input Space Partitioning Table 4.6. Possible values for blocks in geometric partitioning in Table 4.5. Param Triangle b1 (4, 5, 6) b2 (3, 3, 4) b3 (3, 3, 3) b4 (3, 4, 8). characteristics and their Software PDF417 blocks, it is time to choose which combinations of values to test with and identify constraints among the blocks.. EXERCISES Section 4.1. 1. Answer the following q PDF417 for None uestions for the method search() below:. public static int search (List list, Object element) // Effects: if list or element is null throw NullPointerException // else if element is in the list, return an index // of element in the list; else return -1 // for example, search ([3,3,1], 3) = either 0 or 1 // search ([1,7,5], 2) = -1. Base your answer on the f Software PDF 417 ollowing characteristic partitioning:. Characteristic: Location of element in list Block 1: element is rst entry in list Block 2: element is last entry in list Block 3: element is in some position other than rst or last. (a) Location of element Software pdf417 in list fails the disjointness property. Give an example that illustrates this. (b) Location of element in list fails the completeness property.

Give an example that illustrates this. (c) Supply one or more new partitions that capture the intent of Location of e in list but do not suffer from completeness or disjointness problems. 2.

Derive input space partitioning tests for the GenericStack class with the following method signatures: public GenericStack (); public void Push (Object X); public Object Pop (); public boolean IsEmt (); Assume the usual semantics for the stack. Try to keep your partitioning simple, choose a small number of partitions and blocks. (a) De ne characteristics of inputs (b) Partition the characteristics into blocks (c) De ne values for the blocks.

Coverage Criteria 4.2 COMBINATION STRATEGIES CRITERIA The above description ign ores an important question: How should we consider multiple partitions at the same time This is the same as asking What combination of blocks should we choose values from For example, we might wish to require a test case that satis es block 1 from q2 and block 3 from q3 . The most obvious choice is to choose all combinations. However, just like Combinatorial Coverage from previous chapters, using all combinations will be impractical when more than 2 or 3 partitions are de ned.

Criterion 4.23 All Combinations Coverage (ACoC): All combinations of blocks from all characteristics must be used. For example, if we have three partitions with blocks [A, B], [1, 2, 3], and [x, y], then ACoC will need the following twelve tests: (A, 1, x) (A, 1, y) (A, 2, x) (A, 2, y) (A, 3, x) (A, 3, y) (B, 1, x) (B, 1, y) (B, 2, x) (B, 2, y) (B, 3, x) (B, 3, y).

A test suite that satis e barcode pdf417 for None s ACoC will have a unique test for each combination of blocks for each partition. The number of tests will be the product of the number of Q blocks for each partition: i=1 (Bi ). If we use a four block partition similar to q2 for each of the three sides of the triangle, ACoC requires 4 4 4 = 64 tests.

This is almost certainly more testing than is necessary, and will usually be economically impractical as well. Thus, as with paths and truth tables before, we must use some sort of coverage criterion to choose which combinations of blocks to pick values from. The rst, fundamental assumption is that different choices of values from the same block are equivalent from a testing perspective.

That is, we need to take only one value from each block. Several combination strategies exist, which result in a collection of useful criteria. These combination strategies are illustrated with the TriTyp example, using the second categorization given in Table 4.

2 and the values from Table 4.3. The rst combination strategy criterion is fairly straightforward and simply requires that we try each choice at least once.

Criterion 4.24 Each Choice Coverage (ECC): One value from each block for each characteristic must be used in at least one test case. Given the above example of three partitions with blocks [A, B], [1, 2, 3], and [x, y], ECC can be satis ed in many ways, including the three tests (A, 1, x), (B, 2, y), and (A, 3, x).

Assume the program under test has Q parameters q1 , q2 , . . .

, qQ, and each paramQ eter qi has Bi blocks. Then a test suite that satis es ECC will have at least Maxi=1 Bi.
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