The practice of programming
著者
書誌事項
The practice of programming
(Addison-Wesley professional computing series)
Addison-Wesley, c1999
大学図書館所蔵 全55件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
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  アメリカ
注記
Includes index
内容説明・目次
内容説明
With the same insight and authority that made their book The Unix Programming Environment a classic, Brian Kernighan and Rob Pike have written The Practice of Programming to help make individual programmers more effective and productive.
The practice of programming is more than just writing code. Programmers must also assess tradeoffs, choose among design alternatives, debug and test, improve performance, and maintain software written by themselves and others. At the same time, they must be concerned with issues like compatibility, robustness, and reliability, while meeting specifications.
The Practice of Programming covers all these topics, and more. This book is full of practical advice and real-world examples in C, C++, Java, and a variety of special-purpose languages. It includes chapters on:
debugging: finding bugs quickly and methodically
testing: guaranteeing that software works correctly and reliably
performance: making programs faster and more compact
portability: ensuring that programs run everywhere without change
design: balancing goals and constraints to decide which algorithms and data structures are best
interfaces: using abstraction and information hiding to control the interactions between components
style: writing code that works well and is a pleasure to read
notation: choosing languages and tools that let the machine do more of the work
Kernighan and Pike have distilled years of experience writing programs, teaching, and working with other programmers to create this book. Anyone who writes software will profit from the principles and guidance in The Practice of Programming.
目次
1. Style.
Names.
Expressions and Statements.
Consistency and Idioms.
Function Macros.
Magic Numbers.
Comments.
Why Bother?
2. Algorithms and Data Structures.
Searching.
Sorting.
Libraries.
A Java Quicksort.
O-Notation.
Growing Arrays.
Lists.
Trees.
Hash Tables.
Summary.
3. Design and Implementation.
The Markov Chain Algorithm.
Data Structure Alternatives.
Building the Data Structure in C.
Generating Output.
Java.
C++.
Awk and Perl.
Performance.
Lessons.
4. Interfaces.
Comma-Separated Values.
A Prototype Library.
A Library for Others.
A C++ Implementation.
Interface Principles.
Resource Management.
Abort, Retry, Fail?
User Interfaces.
5. Debugging.
Debuggers.
Good Clues, Easy Bugs.
No Clues, Hard Bugs.
Last Resorts.
Non-reproducible Bugs.
Debugging Tools.
Other People's Bugs.
Summary.
6. Testing.
Test as You Write the Code.
Systematic Testing.
Test Automation.
Test Scaffolds.
Stress Tests.
Tips for Testing.
Who Does the Testing?
Testing the Markov Program.
Summary.
7. Performance.
A Bottleneck.
Timing and Profiling.
Strategies for Speed.
Tuning the Code.
Space Efficiency.
Estimation.
Summary.
8. Portability.
Language.
Headers and Libraries.
Program Organization.
Isolation.
Data Exchange.
Byte Order.
Portability and Upgrade.
Internationalization.
Summary.
9. Notation.
Formatting Data.
Regular Expressions.
Programmable Tools.
Interpreters, Compilers, and Virtual Machines.
Programs that Write Programs.
Using Macros to Generate Code.
Compiling on the Fly.
Epilogue.
Appendix: Collected Rules.
Index. 020161586XT04062001
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