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operations can be performed on it Depending on the type of the objects involved, a statement might or might not be legal Some languages, notably Smalltalk and Python, check the types involved in expressions at run time In contrast, C++ is a statically typed language; type-checking is done at compile time As a consequence, the compiler must be told the type of every name used in the program before that name can be used C++ provides a set of built-in data types, operators to manipulate those types, and a small set of statements for program flow control These elements form an alphabet with which many large, complex real-world systems can and have been written At this basic level, C++ is a simple language Its expressive power arises from its support for mechanisms that allow the programmer to define new data structures Perhaps the most important feature in C++ is the class, which allows programmers to define their own data types In C++ such types are sometimes called "class types" to distinguish them from the types that are built into the language Some languages let programmers define data types that specify only what data make up the type Others, like C++, allow programmers to define types that include operations as well as data One of the primary design goals of C++ is to let programmers define their own types that are as easy to use as the built-in types The Standard C++ library uses these features to implement a rich library of class types and associated functions The first step in mastering C++learning the basics of the language and libraryis the topic ofPart I 2 covers the built-in data types and looks briefly at the mechanisms for defining our own new types 3 introduces two of the most fundamental library types: string and vector Arrays, which are covered in 4, are a lowerlevel data structure built into C++ and many other languages Arrays are similar to vectors but harder to use s 5 through 7 cover expressions, statements, and functions This part concludes in 8, which covers the most important facilities from the IO library.

One of the challenges of physical interface analysis is that SEs and analysts become intrigued and immersed by a speci c class of interaction and tend to overlook or ignore other classes that may become SHOWSTOPPERS. One method of analyzing interfaces employs a matrix approach as illustrated in Figure 43.1. Author s Note 43.1 The matrix provides a framework for illustrating the thought processes required to understand all of the performance effecters that in uence design considerations. Based on these thought processes, your job as a system analyst or SE is to determine which one(s) of the effecters warrants consideration for speci c SYSTEM applications. The matrix maps interactions between a MISSION SYSTEM interface classes (rows) and the OPERATING ENVIRONMENT interface classes (columns). Since both domains of system elements have comparable classes of interfaces, SEs divide each domain into the various categories. Note also that the OPERATING ENVIRONMENT includes the NATURAL, INDUCED and HUMAN-MADE SYSTEMS elements. To facilitate the analysis, we assign a unique identi er to each interaction (row-column intersection). Thus, for each interaction, at least one or more speci cation requirements are written to specify and bound the interaction and the expected outcome and performance of each interaction. To illustrate this point, consider the following example:

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iterator range By Stanley B Lippman,Jos e Lajoie,

General . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 997 Strings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1002 Numbers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008

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