
- •Contents
- •Introduction
- •Who This Book Is For
- •What This Book Covers
- •How This Book Is Structured
- •What You Need to Use This Book
- •Conventions
- •Source Code
- •Errata
- •p2p.wrox.com
- •The Basics of C++
- •The Obligatory Hello, World
- •Namespaces
- •Variables
- •Operators
- •Types
- •Conditionals
- •Loops
- •Arrays
- •Functions
- •Those Are the Basics
- •Diving Deeper into C++
- •Pointers and Dynamic Memory
- •Strings in C++
- •References
- •Exceptions
- •The Many Uses of const
- •C++ as an Object-Oriented Language
- •Declaring a Class
- •Your First Useful C++ Program
- •An Employee Records System
- •The Employee Class
- •The Database Class
- •The User Interface
- •Evaluating the Program
- •What Is Programming Design?
- •The Importance of Programming Design
- •Two Rules for C++ Design
- •Abstraction
- •Reuse
- •Designing a Chess Program
- •Requirements
- •Design Steps
- •An Object-Oriented View of the World
- •Am I Thinking Procedurally?
- •The Object-Oriented Philosophy
- •Living in a World of Objects
- •Object Relationships
- •Abstraction
- •Reusing Code
- •A Note on Terminology
- •Deciding Whether or Not to Reuse Code
- •Strategies for Reusing Code
- •Bundling Third-Party Applications
- •Open-Source Libraries
- •The C++ Standard Library
- •Designing with Patterns and Techniques
- •Design Techniques
- •Design Patterns
- •The Reuse Philosophy
- •How to Design Reusable Code
- •Use Abstraction
- •Structure Your Code for Optimal Reuse
- •Design Usable Interfaces
- •Reconciling Generality and Ease of Use
- •The Need for Process
- •Software Life-Cycle Models
- •The Stagewise and Waterfall Models
- •The Spiral Method
- •The Rational Unified Process
- •Software-Engineering Methodologies
- •Extreme Programming (XP)
- •Software Triage
- •Be Open to New Ideas
- •Bring New Ideas to the Table
- •Thinking Ahead
- •Keeping It Clear
- •Elements of Good Style
- •Documenting Your Code
- •Reasons to Write Comments
- •Commenting Styles
- •Comments in This Book
- •Decomposition
- •Decomposition through Refactoring
- •Decomposition by Design
- •Decomposition in This Book
- •Naming
- •Choosing a Good Name
- •Naming Conventions
- •Using Language Features with Style
- •Use Constants
- •Take Advantage of const Variables
- •Use References Instead of Pointers
- •Use Custom Exceptions
- •Formatting
- •The Curly Brace Alignment Debate
- •Coming to Blows over Spaces and Parentheses
- •Spaces and Tabs
- •Stylistic Challenges
- •Introducing the Spreadsheet Example
- •Writing Classes
- •Class Definitions
- •Defining Methods
- •Using Objects
- •Object Life Cycles
- •Object Creation
- •Object Destruction
- •Assigning to Objects
- •Distinguishing Copying from Assignment
- •The Spreadsheet Class
- •Freeing Memory with Destructors
- •Handling Copying and Assignment
- •Different Kinds of Data Members
- •Static Data Members
- •Const Data Members
- •Reference Data Members
- •Const Reference Data Members
- •More about Methods
- •Static Methods
- •Const Methods
- •Method Overloading
- •Default Parameters
- •Inline Methods
- •Nested Classes
- •Friends
- •Operator Overloading
- •Implementing Addition
- •Overloading Arithmetic Operators
- •Overloading Comparison Operators
- •Building Types with Operator Overloading
- •Pointers to Methods and Members
- •Building Abstract Classes
- •Using Interface and Implementation Classes
- •Building Classes with Inheritance
- •Extending Classes
- •Overriding Methods
- •Inheritance for Reuse
- •The WeatherPrediction Class
- •Adding Functionality in a Subclass
- •Replacing Functionality in a Subclass
- •Respect Your Parents
- •Parent Constructors
- •Parent Destructors
- •Referring to Parent Data
- •Casting Up and Down
- •Inheritance for Polymorphism
- •Return of the Spreadsheet
- •Designing the Polymorphic Spreadsheet Cell
- •The Spreadsheet Cell Base Class
- •The Individual Subclasses
- •Leveraging Polymorphism
- •Future Considerations
- •Multiple Inheritance
- •Inheriting from Multiple Classes
- •Naming Collisions and Ambiguous Base Classes
- •Interesting and Obscure Inheritance Issues
- •Special Cases in Overriding Methods
- •Copy Constructors and the Equals Operator
- •The Truth about Virtual
- •Runtime Type Facilities
- •Non-Public Inheritance
- •Virtual Base Classes
- •Class Templates
- •Writing a Class Template
- •How the Compiler Processes Templates
- •Distributing Template Code between Files
- •Template Parameters
- •Method Templates
- •Template Class Specialization
- •Subclassing Template Classes
- •Inheritance versus Specialization
- •Function Templates
- •Function Template Specialization
- •Function Template Overloading
- •Friend Function Templates of Class Templates
- •Advanced Templates
- •More about Template Parameters
- •Template Class Partial Specialization
- •Emulating Function Partial Specialization with Overloading
- •Template Recursion
- •References
- •Reference Variables
- •Reference Data Members
- •Reference Parameters
- •Reference Return Values
- •Deciding between References and Pointers
- •Keyword Confusion
- •The const Keyword
- •The static Keyword
- •Order of Initialization of Nonlocal Variables
- •Types and Casts
- •typedefs
- •Casts
- •Scope Resolution
- •Header Files
- •C Utilities
- •Variable-Length Argument Lists
- •Preprocessor Macros
- •How to Picture Memory
- •Allocation and Deallocation
- •Arrays
- •Working with Pointers
- •Array-Pointer Duality
- •Arrays Are Pointers!
- •Not All Pointers Are Arrays!
- •Dynamic Strings
- •C-Style Strings
- •String Literals
- •The C++ string Class
- •Pointer Arithmetic
- •Custom Memory Management
- •Garbage Collection
- •Object Pools
- •Function Pointers
- •Underallocating Strings
- •Memory Leaks
- •Double-Deleting and Invalid Pointers
- •Accessing Out-of-Bounds Memory
- •Using Streams
- •What Is a Stream, Anyway?
- •Stream Sources and Destinations
- •Output with Streams
- •Input with Streams
- •Input and Output with Objects
- •String Streams
- •File Streams
- •Jumping around with seek() and tell()
- •Linking Streams Together
- •Bidirectional I/O
- •Internationalization
- •Wide Characters
- •Non-Western Character Sets
- •Locales and Facets
- •Errors and Exceptions
- •What Are Exceptions, Anyway?
- •Why Exceptions in C++ Are a Good Thing
- •Why Exceptions in C++ Are a Bad Thing
- •Our Recommendation
- •Exception Mechanics
- •Throwing and Catching Exceptions
- •Exception Types
- •Throwing and Catching Multiple Exceptions
- •Uncaught Exceptions
- •Throw Lists
- •Exceptions and Polymorphism
- •The Standard Exception Hierarchy
- •Catching Exceptions in a Class Hierarchy
- •Writing Your Own Exception Classes
- •Stack Unwinding and Cleanup
- •Catch, Cleanup, and Rethrow
- •Use Smart Pointers
- •Common Error-Handling Issues
- •Memory Allocation Errors
- •Errors in Constructors
- •Errors in Destructors
- •Putting It All Together
- •Why Overload Operators?
- •Limitations to Operator Overloading
- •Choices in Operator Overloading
- •Summary of Overloadable Operators
- •Overloading the Arithmetic Operators
- •Overloading Unary Minus and Unary Plus
- •Overloading Increment and Decrement
- •Overloading the Subscripting Operator
- •Providing Read-Only Access with operator[]
- •Non-Integral Array Indices
- •Overloading the Function Call Operator
- •Overloading the Dereferencing Operators
- •Implementing operator*
- •Implementing operator->
- •What in the World Is operator->* ?
- •Writing Conversion Operators
- •Ambiguity Problems with Conversion Operators
- •Conversions for Boolean Expressions
- •How new and delete Really Work
- •Overloading operator new and operator delete
- •Overloading operator new and operator delete with Extra Parameters
- •Two Approaches to Efficiency
- •Two Kinds of Programs
- •Is C++ an Inefficient Language?
- •Language-Level Efficiency
- •Handle Objects Efficiently
- •Use Inline Methods and Functions
- •Design-Level Efficiency
- •Cache as Much as Possible
- •Use Object Pools
- •Use Thread Pools
- •Profiling
- •Profiling Example with gprof
- •Cross-Platform Development
- •Architecture Issues
- •Implementation Issues
- •Platform-Specific Features
- •Cross-Language Development
- •Mixing C and C++
- •Shifting Paradigms
- •Linking with C Code
- •Mixing Java and C++ with JNI
- •Mixing C++ with Perl and Shell Scripts
- •Mixing C++ with Assembly Code
- •Quality Control
- •Whose Responsibility Is Testing?
- •The Life Cycle of a Bug
- •Bug-Tracking Tools
- •Unit Testing
- •Approaches to Unit Testing
- •The Unit Testing Process
- •Unit Testing in Action
- •Higher-Level Testing
- •Integration Tests
- •System Tests
- •Regression Tests
- •Tips for Successful Testing
- •The Fundamental Law of Debugging
- •Bug Taxonomies
- •Avoiding Bugs
- •Planning for Bugs
- •Error Logging
- •Debug Traces
- •Asserts
- •Debugging Techniques
- •Reproducing Bugs
- •Debugging Reproducible Bugs
- •Debugging Nonreproducible Bugs
- •Debugging Memory Problems
- •Debugging Multithreaded Programs
- •Debugging Example: Article Citations
- •Lessons from the ArticleCitations Example
- •Requirements on Elements
- •Exceptions and Error Checking
- •Iterators
- •Sequential Containers
- •Vector
- •The vector<bool> Specialization
- •deque
- •list
- •Container Adapters
- •queue
- •priority_queue
- •stack
- •Associative Containers
- •The pair Utility Class
- •multimap
- •multiset
- •Other Containers
- •Arrays as STL Containers
- •Strings as STL Containers
- •Streams as STL Containers
- •bitset
- •The find() and find_if() Algorithms
- •The accumulate() Algorithms
- •Function Objects
- •Arithmetic Function Objects
- •Comparison Function Objects
- •Logical Function Objects
- •Function Object Adapters
- •Writing Your Own Function Objects
- •Algorithm Details
- •Utility Algorithms
- •Nonmodifying Algorithms
- •Modifying Algorithms
- •Sorting Algorithms
- •Set Algorithms
- •The Voter Registration Audit Problem Statement
- •The auditVoterRolls() Function
- •The getDuplicates() Function
- •The RemoveNames Functor
- •The NameInList Functor
- •Testing the auditVoterRolls() Function
- •Allocators
- •Iterator Adapters
- •Reverse Iterators
- •Stream Iterators
- •Insert Iterators
- •Extending the STL
- •Why Extend the STL?
- •Writing an STL Algorithm
- •Writing an STL Container
- •The Appeal of Distributed Computing
- •Distribution for Scalability
- •Distribution for Reliability
- •Distribution for Centrality
- •Distributed Content
- •Distributed versus Networked
- •Distributed Objects
- •Serialization and Marshalling
- •Remote Procedure Calls
- •CORBA
- •Interface Definition Language
- •Implementing the Class
- •Using the Objects
- •A Crash Course in XML
- •XML as a Distributed Object Technology
- •Generating and Parsing XML in C++
- •XML Validation
- •Building a Distributed Object with XML
- •SOAP (Simple Object Access Protocol)
- •. . . Write a Class
- •. . . Subclass an Existing Class
- •. . . Throw and Catch Exceptions
- •. . . Read from a File
- •. . . Write to a File
- •. . . Write a Template Class
- •There Must Be a Better Way
- •Smart Pointers with Reference Counting
- •Double Dispatch
- •Mix-In Classes
- •Object-Oriented Frameworks
- •Working with Frameworks
- •The Model-View-Controller Paradigm
- •The Singleton Pattern
- •Example: A Logging Mechanism
- •Implementation of a Singleton
- •Using a Singleton
- •Example: A Car Factory Simulation
- •Implementation of a Factory
- •Using a Factory
- •Other Uses of Factories
- •The Proxy Pattern
- •Example: Hiding Network Connectivity Issues
- •Implementation of a Proxy
- •Using a Proxy
- •The Adapter Pattern
- •Example: Adapting an XML Library
- •Implementation of an Adapter
- •Using an Adapter
- •The Decorator Pattern
- •Example: Defining Styles in Web Pages
- •Implementation of a Decorator
- •Using a Decorator
- •The Chain of Responsibility Pattern
- •Example: Event Handling
- •Implementation of a Chain of Responsibility
- •Using a Chain of Responsibility
- •Example: Event Handling
- •Implementation of an Observer
- •Using an Observer
- •Chapter 1: A Crash Course in C++
- •Chapter 3: Designing with Objects
- •Chapter 4: Designing with Libraries and Patterns
- •Chapter 5: Designing for Reuse
- •Chapter 7: Coding with Style
- •Chapters 8 and 9: Classes and Objects
- •Chapter 11: Writing Generic Code with Templates
- •Chapter 14: Demystifying C++ I/O
- •Chapter 15: Handling Errors
- •Chapter 16: Overloading C++ Operators
- •Chapter 17: Writing Efficient C++
- •Chapter 19: Becoming Adept at Testing
- •Chapter 20: Conquering Debugging
- •Chapter 24: Exploring Distributed Objects
- •Chapter 26: Applying Design Patterns
- •Beginning C++
- •General C++
- •I/O Streams
- •The C++ Standard Library
- •C++ Templates
- •Integrating C++ and Other Languages
- •Algorithms and Data Structures
- •Open-Source Software
- •Software-Engineering Methodology
- •Programming Style
- •Computer Architecture
- •Efficiency
- •Testing
- •Debugging
- •Distributed Objects
- •CORBA
- •XML and SOAP
- •Design Patterns
- •Index

Chapter 10
void lessPresumptuous(Super* inSuper)
{
Sub* mySub = dynamic_cast<Sub*>(inSuper);
if (mySub != NULL) {
// Proceed to access Sub methods on mySub.
}
}
If a dynamic cast fails on a pointer, as above, the pointer’s value will be NULL instead of pointing to nonsensical data. If a dynamic_cast fails on an object reference, a std::bad_cast exception will be thrown. For more on casts, see Chapter 12. For more on exceptions, see Chapter 15.
Use downcasting only when necessary and be sure to use a dynamic cast.
Inheritance for Polymorphism
Now that you understand the relationship between a subclass and its parent, you can use inheritance in its most powerful scenario — polymorphism. As you learned in Chapter 3, polymorphism allows you to use objects with a common parent class interchangeably, and to use objects in place of their parents.
Return of the Spreadsheet
Chapters 8 and 9 used a spreadsheet program as an example of an application that lends itself to an object-oriented design. As you may recall, a SpreadsheetCell represented a single element of data. That element could be either a double or a string. A simplified class definition for SpreadsheetCell follows. Note that a cell can be set either as a double or a string. The current value of the cell, however, is always returned as a string for this example.
class SpreadsheetCell
{
public:
SpreadsheetCell();
virtual void set(double inDouble);
virtual void set(const std::string& inString); virtual std::string getString();
protected:
static std::string doubleToString(double inValue);
static double stringToDouble(const std::string& inString);
double mValue; std::string mString;
};
The preceding SpreadsheetCell class seems to be having an identity crisis — sometimes a cell represents a double, sometimes a string. Sometimes it has to convert between these formats. To achieve this duality, the class needs to store both values even though a given cell should only be able to contain a
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Discovering Inheritance Techniques
single value. Worse still, what if additional types of cells are needed, such as a formula cell or a date cell? The SpreadsheetCell class would grow dramatically to support all of these data types and the conversions between them.
Designing the Polymorphic Spreadsheet Cell
The SpreadsheetCell class is screaming out for a hierarchical makeover. A reasonable approach would be to narrow the scope of the SpreadsheetCell to cover only strings, perhaps renaming it StringSpreadsheetCell in the process. To handle doubles, a second class, DoubleSpreadsheetCell, would inherit from the StringSpreadsheetCell and provide functionality specific to its own format. Figure 10-5 illustrates such a design. This approach models inheritance for reuse since the
DoubleSpreadsheetCell would only be subclassing StringSpreadsheetCell to make use of some of its built-in functionality.
StringSpreadsheetCell
DoubleSpreadsheetCell
Figure 10-5
If you were to implement the design shown in Figure 10-5, you might discover that the subclass would override most, if not all, of the functionality of the base class. Since doubles are treated differently from strings in almost all cases, the relationship may not be quite as it was originally understood. Yet, there clearly is a relationship between a cell containing strings and a cell containing doubles. Rather than use the model in Figure 10-5, which implies that somehow a DoubleSpreadsheetCell “is-a” StringSpreadsheetCell, a better design would make these classes peers with a common parent, SpreadsheetCell. Such a design is shown in Figure 10-6.
SpreadsheetCell
StringSpreadsheetCell DoubleSpreadsheetCell
Figure 10-6
The design in Figure 10-6 shows a polymorphic approach to the SpreadsheetCell hierarchy. Since
DoubleSpreadsheetCell and StringSpreadsheetCell both inherit from a common parent,
SpreadsheetCell, they are interchangeable in the view of other code. In practical terms, that means:
Both subclasses support the same interface (set of methods) defined by the base class
Code that makes use of SpreadsheetCell objects can call any method in the interface without even knowing whether the cell is a DoubleSpreadsheetCell or a StringSpreadsheetCell
Through the magic of virtual methods, the appropriate version of every method in the interface will be called depending on the class of the object
Other data structures, such as the Spreadsheet class described in Chapter 9, can contain a collection of multityped cells by referring to the parent type
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Chapter 10
The Spreadsheet Cell Base Class
Since all spreadsheet cells are subclasses of the SpreadsheetCell base class, it is probably a good idea to write that class first. When designing a base class, you need to consider how the subclasses relate to each other. From this information, you can derive the commonality that will go inside the parent class. For example, string cells and double cells are similar in that they both contain a single piece of data. Since the data is coming from the user and will be displayed back to the user, the value is set as a string and retrieved as a string. These behaviors are the shared functionality that will make up the base class.
A First Attempt
The SpreadsheetCell base class is responsible for defining the behaviors that all SpreadsheetCell subclasses will support. In our simple example, all cells need to be able to set their value as a string. All cells also need to be able to return their current value as a string. The base class definition, therefore, declares these methods.
class SpreadsheetCell
{
public:
SpreadsheetCell();
virtual ~SpreadsheetCell();
virtual void set(const std::string& inString);
virtual std::string getString() const;
};
When you start writing the .cpp file for this class, you very quickly run into a problem. Since the base class of spreadsheet cell contains neither a double nor a string, how can you implement it? More generally, how do you write a parent class that declares the behaviors that are supported by subclasses without actually defining the implementation of those behaviors?
One possible approach is to implement “do nothing” functionality for those behaviors. For example, calling the set() method on the SpreadsheetCell base class will have no effect because the base class has nothing to set. This approach still doesn’t feel right, however. Ideally, there should never be an object that is an instance of the base class. Calling set() should always have an effect because it should always be called on either a DoubleSpreadsheetCell or a StringSpreadsheetCell. A good solution will enforce this constraint.
Pure Virtual Methods and Abstract Base Classes
Pure virtual methods are methods that are explicitly undefined in the class definition. By making a method pure virtual, you are telling the compiler that no definition for the method exists in the current class. Thus, the class is said to be abstract because no other code will be able to instantiate it. The compiler enforces the fact that if a class contains one or more pure virtual methods, it can never be used by itself to construct an object.
The syntax for a pure virtual method is shown below. Simply set the method equal to zero in the class definition. No code needs to be written in the .cpp file.
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Discovering Inheritance Techniques
class SpreadsheetCell
{
public:
SpreadsheetCell();
virtual ~SpreadsheetCell();
virtual void set(const std::string& inString) = 0;
virtual std::string getString() const = 0;
};
Now that the base class is an abstract class, it is impossible to create a SpreadsheetCell object. The following code will not compile, and will give an error such as Cannot declare object of type ‘SpreadsheetCell’ because one or more virtual functions are abstract.
int main(int argc, char** argv)
{
SpreadsheetCell cell; // BUG! Attempts to create instance of an abstract class
}
An abstract class provides a way to prevent other code from instantiating an object directly, as opposed to one of its subclasses.
Base Class Source Code
There is not much code required for SpreadsheetCell.cpp. As the class was defined, most of the methods are pure virtual — there is no definition to give. All that is left is the type conversion method and the constructor and destructor. For this example, the constructor and destructor are implemented just as a placeholder in case initialization and destruction tasks need to happen in the future.
SpreadsheetCell::SpreadsheetCell()
{
}
SpreadsheetCell::~SpreadsheetCell()
{
}
The Individual Subclasses
Writing the StringSpreadsheetCell and DoubleSpreadsheetCell classes is just a matter of implementing the functionality that is defined in the parent. Because we want clients to be able to instantiate and work with string cells and double cells, they can’t be abstract — they must implement all of the pure virtual methods inherited from their parent.
String Spreadsheet Cell Class Definition
The first step in writing the class definition of StringSpreadsheetCell is to subclass
SpreadsheetCell.
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Chapter 10
class StringSpreadsheetCell : public SpreadsheetCell
{
StringSpreadsheetCell declares its own constructor, giving it a chance to initialize its own data.
public:
StringSpreadsheetCell();
Next, the inherited pure virtual methods are overridden, this time without being set to zero.
virtual void set(const std::string& inString);
virtual std::string getString() const;
Finally, the string cell adds a protected data member, mValue, which stores the actual cell data.
protected:
std::string mValue;
};
String Spreadsheet Cell Implementation
The .cpp file for StringSpreadsheetCell is a bit more interesting than the base class. In the constructor, the value string is initialized to a string that indicates that no value has been set.
StringSpreadsheetCell::StringSpreadsheetCell() : mValue(“#NOVALUE”)
{
}
The set method is straightforward since the internal representation is already a string. Similarly, the getString() method simply returns the stored value.
void StringSpreadsheetCell::set(const string& inString)
{
mValue = inString;
}
string StringSpreadsheetCell::getString() const
{
return mValue;
}
Double Spreadsheet Cell Class Definition and Implementation
The double version follows a similar pattern, but with different logic. In addition to the set() method that takes a string, it also provides a new set() method that allows a client to set the value with a double. Two new protected methods are used to convert between a string and a double. Like StringSpreadsheetCell, it has a data member called mValue, this time a double. Because
DoubleSpreadsheetCell and StringSpreadsheetCell are siblings, no hiding or naming conflicts occur as a result.
244