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Figure 5-9: Updated pair-wise test matrix using a revised model file to eliminate mutually exclusive variables. You can further customize the PICT model file by aliasing or making some variable states equivalent. For example, the Arial font and the Tahoma font are very similar font types, so you could assert that Arial is equivalent to Tahoma when tested in combination with variable states from other parameters. You can alias the Arial and Tahoma font by removing the comma and inserting a pipe character (|) between the Arial and Tahoma variable states in the PICT model file, as illustrated in the following code example. Using another feature of the PICT tool, you can potentially increase the occurrences of highly probable combinations or variable states in the output of test combinations. For example, you can assert that the most common font color is black and the most common font size is a nominal font size. Again, you can modify the PICT input model file by providing weights to those variable states as illustrated in the following code. A weighted variable state is useful to give preference to a value once all n-wise conditions are satisfied for that variable state.

As in the list of external quality characteristics, some of these internal characteristics overlap, but they too each have different shades of meaning that are valuable. The internal aspects of system quality are the main subject of this book and aren t discussed further in this chapter. The difference between internal and external characteristics isn t completely clear-cut because at some level internal characteristics affect external ones. Software that isn t internally understandable or maintainable impairs your ability to correct defects, which in turn affects the external characteristics of correctness and reliability. Software that isn t flexible can t be enhanced in response to user requests, which in turn affects the external characteristic of usability. The point is that some quality characteristics are emphasized to make life easier for the user and some are emphasized to make life easier for the programmer. Try to know which is which. The attempt to maximize certain characteristics invariably conflicts with the attempt to maximize others. Finding an optimal solution from a set of competing objectives is one activity that makes software development a true engineering discipline. Figure 20-1 shows the way in which focusing on some external quality characteristics affects others. The same kinds of relationships can be found among the internal characteristics of software quality. The most interesting aspect of this chart is that focusing on a specific characteristic doesn t always mean a trade-off with another characteristic. Sometimes one hurts another, sometimes one helps another, and sometimes one neither hurts nor helps another. For example, correctness is the characteristic of functioning exactly to specification. Robustness is the ability to continue functioning even under unanticipated conditions. Focusing on correctness hurts

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If you suspect that a plan that accesses the tables in a different order than the one chosen by the optimizer will be more ef cient, you can force the order of join processing by using one of two options. You can use the FORCE ORDER hint as shown in Listing 7-4, forcing the optimizer to process the joins physically in the same order as the logical one:

hroughout this book, we ve referred to Excel lists, the feature of Excel that makes it possible to synchronize worksheet data with SharePoint (see 2). Whether or not you want to synchronize a list with SharePoint, using Excel s List command can simplify data entry and put features such as filter, sort, and totals at your fingertips. Although theoretically any Excel worksheet with columns and rows of data can be called a list, Excel s List command segregates a defined range of cells from the rest of the worksheet, making it possible to combine multiple lists into a single worksheet. Additionally, an Excel list automatically copies formulas and formatting to new rows of data, eliminating the need to do this manually. In this appendix, we ll demonstrate the advantages of using Excel s List command over maintaining lists the traditional way.

The results show that it takes about 1.5 seconds to run 100,000 iterations of your routine to compute the factorial of 8 approximately 66,666 iterations per second. Let s write a factorial method in C using RubyInline: class CFactorial class << self inline do |builder| builder.c %q{ long factorial(int value) { long result = 1, i = 1; for (i = 1; i <= value; i++) { result *= i; } return result; } } end end end First, you create a CFactorial class to house your new method. Then inline do |builder| starts the RubyInline environment, and builder.c is used to process the C code within the multiline string between %q{ and }. The reason for this level of depth is that RubyInline can work with multiple languages at the same time, so you need to enter the RubyInline environment first and then explicitly specify code to be associated with a particular language. The actual C code in the preceding example begins following the builder.c line. Let s focus on it for a moment: long factorial(int value) { long result = 1, i = 1; for (i = 1; i <= value; i++) { result *= i; } return result; } This code defines a C function called factorial that accepts a single integer parameter and returns a single integer value. The internal logic counts from 1 to the supplied value, and multiplies each number to obtain the factorial.

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