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C++ Gotchas: Avoiding Common Problems in Coding and Design
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Table of content
Copyright
Addison-Wesley Professional Computing Series
Preface
Acknowledgments
Chapter 1. Basics
Gotcha #1: Excessive Commenting
Gotcha #2: Magic Numbers
Gotcha #3: Global Variables
Gotcha #4: Failure to Distinguish Overloading from Default Initialization
Gotcha #5: Misunderstanding References
Gotcha #6: Misunderstanding Const
Gotcha #7: Ignorance of Base Language Subtleties
Gotcha #8: Failure to Distinguish Access and Visibility
Gotcha #9: Using Bad Language
Gotcha #10: Ignorance of Idiom
Gotcha #11: Unnecessary Cleverness
Gotcha #12: Adolescent Behavior
Chapter 2. Syntax
Gotcha #13: Array/Initializer Confusion
Gotcha #14: Evaluation Order Indecision
Gotcha #15: Precedence Problems
Gotcha #16: 'for' Statement Debacle
Gotcha #17: Maximal Munch Problems
Gotcha #18: Creative Declaration-Specifier Ordering
Gotcha #19: Function/Object Ambiguity
Gotcha #20: Migrating Type-Qualifiers
Gotcha #21: Self-Initialization
Gotcha #22: Static and Extern Types
Gotcha #23: Operator Function Lookup Anomaly
Gotcha #24: Operator '->' Subtleties
Chapter 3. The Preprocessor
Gotcha #25: '#define' Literals
Gotcha #26: '#define' Pseudofunctions
Gotcha #27: Overuse of '#if'
Gotcha #28: Side Effects in Assertions
Chapter 4. Conversions
Gotcha #29: Converting through 'void *'
Gotcha #30: Slicing
Gotcha #31: Misunderstanding Pointer-to-Const Conversion
Gotcha #32: Misunderstanding Pointer-to-Pointer-to-Const Conversion
Gotcha #33: Misunderstanding Pointer-to-Pointer-to-Base Conversion
Gotcha #34: Pointer-to-Multidimensional-Array Problems
Gotcha #35: Unchecked Downcasting
Gotcha #36: Misusing Conversion Operators
Gotcha #37: Unintended Constructor Conversion
Gotcha #38: Casting under Multiple Inheritance
Gotcha #39: Casting Incomplete Types
Gotcha #40: Old-Style Casts
Gotcha #41: Static Casts
Gotcha #42: Temporary Initialization of Formal Arguments
Gotcha #43: Temporary Lifetime
Gotcha #44: References and Temporaries
Gotcha #45: Ambiguity Failure of 'dynamic_cast'
Gotcha #46: Misunderstanding Contravariance
Chapter 5. Initialization
Gotcha #47: Assignment/Initialization Confusion
Gotcha #48: Improperly Scoped Variables
Gotcha #49: Failure to Appreciate C++'s Fixation on Copy Operations
Gotcha #50: Bitwise Copy of Class Objects
Gotcha #51: Confusing Initialization and Assignment in Constructors
Gotcha #52: Inconsistent Ordering of the Member Initialization List
Gotcha #53: Virtual Base Default Initialization
Gotcha #54: Copy Constructor Base Initialization
Gotcha #55: Runtime Static Initialization Order
Gotcha #56: Direct versus Copy Initialization
Gotcha #57: Direct Argument Initialization
Gotcha #58: Ignorance of the Return Value Optimizations
Gotcha #59: Initializing a Static Member in a Constructor
Chapter 6. Memory and Resource Management
Gotcha #60: Failure to Distinguish Scalar and Array Allocation
Gotcha #61: Checking for Allocation Failure
Gotcha #62: Replacing Global New and Delete
Gotcha #63: Confusing Scope and Activation of Member 'new' and 'delete'
Gotcha #64: Throwing String Literals
Gotcha #65: Improper Exception Mechanics
Gotcha #66: Abusing Local Addresses
Gotcha #67: Failure to Employ Resource Acquisition Is Initialization
Gotcha #68: Improper Use of 'auto_ptr'
Chapter 7. Polymorphism
Gotcha #69: Type Codes
Gotcha #70: Nonvirtual Base Class Destructor
Gotcha #71: Hiding Nonvirtual Functions
Gotcha #72: Making Template Methods Too Flexible
Gotcha #73: Overloading Virtual Functions
Gotcha #74: Virtual Functions with Default Argument Initializers
Gotcha #75: Calling Virtual Functions in Constructors and Destructors
Gotcha #76: Virtual Assignment
Gotcha #77: Failure to Distinguish among Overloading, Overriding, and Hiding
Gotcha #78: Failure to Grok Virtual Functions and Overriding
Gotcha #79: Dominance Issues
Chapter 8. Class Design
Gotcha #80: Get/Set Interfaces
Gotcha #81: Const and Reference Data Members
Gotcha #82: Not Understanding the Meaning of Const Member Functions
Gotcha #83: Failure to Distinguish Aggregation and Acquaintance
Gotcha #84: Improper Operator Overloading
Gotcha #85: Precedence and Overloading
Gotcha #86: Friend versus Member Operators
Gotcha #87: Problems with Increment and Decrement
Gotcha #88: Misunderstanding Templated Copy Operations
Chapter 9. Hierarchy Design
Gotcha #89: Arrays of Class Objects
Gotcha #90: Improper Container Substitutability
Gotcha #91: Failure to Understand Protected Access
Gotcha #92: Public Inheritance for Code Reuse
Gotcha #93: Concrete Public Base Classes
Gotcha #94: Failure to Employ Degenerate Hierarchies
Gotcha #95: Overuse of Inheritance
Gotcha #96: Type-Based Control Structures
Gotcha #97: Cosmic Hierarchies
Gotcha #98: Asking Personal Questions of an Object
Gotcha #99: Capability Queries
Bibliography

Gotcha #99: Capability Queries

In fact, abuse of runtime type information as obvious as that in the terminate function of the previous gotcha is usually the result of compounded hacks and poor project management rather than bad design. However, some "advanced" uses of dynamic casting with multiple inheritance are often pressed into service to form the basis of an architecture.

The employee reports to the HR department on his first day of work and is told, "Get in line with the other assets." He's directed to a long line of other employees that also includes, strangely, a variety of office equipment, vehicles, furniture, and legal agreements.

Finally reaching the head of the line, he's assaulted by a sequence of odd questions: "Do you consume gasoline?" "Can you program?" "Can I make copies with you?" Answering "no" to all the questions, he's eventually sent home, wondering why no one thought to ask him if he could mop floors, since that was what he was hired to do.

Sounds a little odd, doesn't it? (Perhaps not, if you've worked for a large corporation.) It should sound odd, because this is an example of improper use of capability queries.

Let's leave human resources for a while and head down the hall to finance, to look at a financial instrument hierarchy. Suppose we're trading securities. We have at our disposal a pricing subsystem and a persistence subsystem whose code we'd like to leverage in the implementation of our hierarchy. The requirements of each subsystem are clearly stated in an interface class from which the user of the subsystem must derive:

class Saveable { // persistence interface 
 public:
   virtual ~Saveable();
   virtual void save() = 0;
   // . . .
};
class Priceable { // pricing interface
 public:
   virtual ~Priceable();
   virtual void price() = 0;
   // . . .
};

Some concrete classes of the Deal hierarchy fulfill the subsystem contracts and leverage the subsystem code. This is a standard, effective, and correct use of multiple inheritance:

class Deal { 
 public:
   virtual void validate() = 0;
   // . . .
};
class Bond
 : public Deal, public Priceable
   {/* . . . */};
class Swap
 : public Deal, public Priceable, public Saveable
   {/* . . . */};

Now we have to add the ability to "process" a deal, given just a pointer to the Deal base class. A naïve approach would simply ask straightforward questions about the object's type, which is no better than our earlier attempt to terminate employees (see Gotcha #98):

void processDeal( Deal *d ) { 
   d->validate();
   if( Bond *b = dynamic_cast<Bond *>(d) )
       b->price();
   else if( Swap *s = dynamic_cast<Swap *>(d) ) {
       s->price();
       s->save();
   }
   else
       throw UnknownDealType( d );
}

Another distressingly popular approach is not to ask the object what it is but rather what it can do. This is often called a "capability query":

void processDeal( Deal *d ) { 
   d->validate();
   if( Priceable *p = dynamic_cast<Priceable *>(d) )
       p->price();
   if( Saveable *s = dynamic_cast<Saveable *>(d) )
       s->save();
}

Each base class represents a set of capabilities. A dynamic_cast across the hierarchy, or "cross-cast," is equivalent to asking whether an object can perform a particular function or set of functions, as in Figure 9-15. The second version of processDeal essentially says, "Deal, validate yourself. If you can be priced, price yourself. If you can be saved, save yourself."

Figure 9-15. Use of cross-casting to implement capability queries

graphics/09fig15.gif

This approach is a bit more sophisticated than the previous implementation of processDeal. It may also be somewhat less fragile, since it can handle new types of deals without throwing an exception. However, it still suffers from efficiency and maintenance problems. Consider what would happen if a new interface class should appear in the Deal hierarchy, as in Figure 9-16.

Figure 9-16. The fragility of capability queries. What if we neglect to ask the right question?

graphics/09fig16.gif

The appearance of a new capability in the hierarchy is not detected. Essentially, the code never thinks to ask if the deal is legal (which, on the other hand, is pretty realistic domain analysis). As with our earlier solution to the problem of terminating an employee, this capability-query-based approach to processing a deal is an ad hoc solution, not a basis for an architecture.

The root problem with both identity-based and capability-based queries in object-oriented design is that some of the essential behavior of an object is determined externally to the object itself. This approach runs counter to the principle of data abstraction, perhaps the most basic of the foundations of object-oriented programming. With these approaches, the meaning of an abstract data type is no longer encapsulated within the class used to implement it but is distributed throughout the source code.

As with the Employee hierarchy, the safest and most efficient way to add a capability to the Deal hierarchy is also the simplest:

class Deal { 
 public:
   virtual void validate() = 0;
   virtual void process() = 0;
   // . . .
};
class Bond : public Deal, public Priceable {
 public:
   void validate();
   void price();
   void process() {
       validate();
       price();
   }
};
class Swap : public Deal, public Priceable, public Saveable {
 public:
   void validate();
   void price();
   void save();
   void process() {
       validate();
       price();
       save();
   }
};
// etc . . .

Other techniques can be used to improve on the capability query without modifying the hierarchy if the original design makes provision for them. The Visitor pattern allows new capabilities to be added to a hierarchy but is fragile when the hierarchy is maintained. The Acyclic Visitor pattern is less fragile than Visitor but requires a (single) capability query that may fail. Either of these approaches, however, is an improvement over systematic use of capability queries.

Generally, the necessity for capability queries is indicative of a bad design, and a simple, efficient, type-safe virtual function call that always succeeds is preferable.

The employee reports to the HR department on his first day of work. He's directed to a long line of other employees. Finally reaching the head of the line, he's told, "Get to work!" Since he was hired as a janitor, he grabs a mop and spends the rest of the day washing floors.