C++.Coding.Standards.1918.Rules.Guidelines [Electronic resources] نسخه متنی

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C++.Coding.Standards.1918.Rules.Guidelines [Electronic resources] - نسخه متنی

Herb Sutter, Andrei Alexandrescu

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Summary

Discussion

References

Chapter 26. Preserve natural semantics for overloaded operators

Summary

Discussion

Exceptions

References

None 27. Prefer the canonical forms of arithmetic and assignment operators

Summary

Discussion

Examples

Exceptions

References

Chapter 28. Prefer the canonical form of ++ and --. Prefer calling the prefix forms

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Discussion

Exceptions

References

Chapter 29. Consider overloading to avoid implicit type conversions

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Discussion

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Chapter 30. Avoid overloading &&, ||, or , (comma)

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Discussion

Examples

Exceptions

References

Chapter 31. Don't write code that depends on the order of evaluation of function arguments

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Discussion

References

Class Design and Inheritance

Chapter 32. Be clear what kind of class you're writing

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Chapter 33. Prefer minimal classes to monolithic classes

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Chapter 34. Prefer composition to inheritance

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Exceptions

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Chapter 35. Avoid inheriting from classes that were not designed to be base classes

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Examples

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Chapter 36. Prefer providing abstract interfaces

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Examples

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Chapter 37. Public inheritance is substitutability. Inherit, not to reuse, but to be reused

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Chapter 38. Practice safe overriding

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Examples

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Chapter 39. Consider making virtual functions nonpublic, and public functions nonvirtual

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Exceptions

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Chapter 40. Avoid providing implicit conversions

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Discussion

Examples

Exceptions

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Chapter 41. Make data members private, except in behaviorless aggregates (C-style structs)

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Examples

Exceptions

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Chapter 42. Don't give away your internals

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Exceptions

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Chapter 43. Pimpl judiciously

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Chapter 44. Prefer writing nonmember nonfriend functions

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Examples

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Chapter 45. Always provide new and delete together

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Chapter 46. If you provide any class-specific new, provide all of the standard forms (plain, in-place, and nothrow)

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Construction, Destruction, and Copying

Chapter 47. Define and initialize member variables in the same order

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Chapter 48. Prefer initialization to assignment in constructors

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Discussion

Exceptions

References

Chapter 49. Avoid calling virtual functions in constructors and destructors

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Examples

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Chapter 50. Make base class destructors public and virtual, or protected and nonvirtual

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Examples

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Chapter 51. Destructors, deallocation, and swap never fail

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Chapter 52. Copy and destroy consistently

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Chapter 53. Explicitly enable or disable copying

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Chapter 54. Avoid slicing. Consider Clone instead of copying in base classes

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Exceptions

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Chapter 55. Prefer the canonical form of assignment

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Chapter 56. Whenever it makes sense, provide a no-fail swap (and provide it correctly)

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Exceptions

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Namespaces and Modules

Chapter 57. Keep a type and its nonmember function interface in the same namespace

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Examples

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Chapter 58. Keep types and functions in separate namespaces unless they're specifically intended to work together

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Chapter 59. Don't write namespace usings in a header file or before an #include

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Exceptions

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Chapter 60. Avoid allocating and deallocating memory in different modules

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Chapter 61. Don't define entities with linkage in a header file

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Exceptions

References

Chapter 62. Don't allow exceptions to propagate across module boundaries

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Chapter 63. Use sufficiently portable types in a module's interface

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Examples

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Templates and Genericity

Chapter 64. Blend static and dynamic polymorphism judiciously

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Chapter 65. Customize intentionally and explicitly

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Chapter 66. Don't specialize function templates

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Examples

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Chapter 67. Don't write unintentionally nongeneric code

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Exceptions

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Error Handling and Exceptions

Chapter 68. Assert liberally to document internal assumptions and invariants

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Examples

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Chapter 69. Establish a rational error handling policy, and follow it strictly

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Chapter 70. Distinguish between errors and non-errors

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Chapter 71. Design and write error-safe code

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Chapter 72. Prefer to use exceptions to report errors

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Chapter 73. Throw by value, catch by reference

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Chapter 74. Report, handle, and translate errors appropriately

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Exceptions

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Chapter 75. Avoid exception specifications

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Exceptions

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STL: Containers

Chapter 76. Use vector by default. Otherwise, choose an appropriate container

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Examples

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Chapter 77. Use vector and string instead of arrays

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_str) to exchange data with non-C++ APIs

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Chapter 79. Store only values and smart pointers in containers

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Examples

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Chapter 80. Prefer push_back to other ways of expanding a sequence

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Exceptions

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Chapter 81. Prefer range operations to single-element operations

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Chapter 82. Use the accepted idioms to really shrink capacity and really erase elements

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STL: Algorithms

Chapter 83. Use a checked STL implementation

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Chapter 84. Prefer algorithm calls to handwritten loops

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Chapter 85. Use the right STL search algorithm

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Chapter 86. Use the right STL sort algorithm

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Chapter 87. Make predicates pure functions

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Examples

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Chapter 88. Prefer function objects over functions as algorithm and comparer arguments

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Chapter 89. Write function objects correctly

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Type Safety

Chapter 90. Avoid type switching; prefer polymorphism

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Examples

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Chapter 91. Rely on types, not on representations

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Chapter 92. Avoid using reinterpret_cast

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Exceptions

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Chapter 93. Avoid using static_cast on pointers

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Chapter 94. Avoid casting away const

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Chapter 95. Don't use C-style casts

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Chapter 96. Don't memcpy or memcmp non-PODs

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Chapter 97. Don't use unions to reinterpret representation

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Discussion

Exceptions

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Chapter 98. Don't use varargs (ellipsis)

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Chapter 99. Don't use invalid objects. Don't use unsafe functions

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Discussion

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Chapter 100. Don't treat arrays polymorphically

Summary

Discussion

References

Bibliography

Summary of Summaries

Organizational and Policy Issues

Design Style

Coding Style

Functions and Operators

Class Design and Inheritance

Construction, Destruction, and Copying

Namespaces and Modules

Templates and Genericity

Error Handling and Exceptions

STL: Containers

STL: Algorithms

Type Safety
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Summary


Beware of explosive data growth: Without optimizing prematurely, keep an eye on asymptotic complexity. Algorithms that work on user data should take a predictable, and preferably no worse than linear, time with the amount of data processed. When optimization is provably necessary and important, and especially if it's because data volumes are growing, focus on improving big-Oh complexity rather than on micro-optimizations like saving that one extra addition.


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