程式設計實踐 (英文版) 本書目錄
PrefaceChapter 1: Style
1.1 Names
1.2 Expressions and Statements
1.3 Consistency and Idioms
1.4 Function Macros
1.5 Magic Numbers
1.6 Comments
1.7 Why Bother?
Chapter 2: Algorithms and Data Structures
2.1 Searching
2.2 Sorting
2.3 Libraries
2.4 A Java Quicksort
2.5 O-Notation
2.6 Growing Arrays
2.7 Lists
2.8 Trees
2.9 Hash Tables
2.10 Summary
Chapter 3: Design and Implementation
3.1 The Markov Chain Algorithm
3.2 Data Structure Altematives
3.3 Building the Data Structure in C
3.4 Generating Output
3.5 Java
3.6 C++
3.7 Awk and Perl
3.8 Performance
3.9 Lessons
Chapter 4: Interfaces
4.1 Comma-Separated Values
4.2 A Prototype Library
4.3 A Library for Others
4.4 A C++ Implementation
4.5 Interface Principles
4.6 Resource Management
4.7 Abort, Retry, Fail?
4.8 User Interfaces
Chapter 5: Debugging
5.2 Debuggers
5.2 Good Clues, Easy Bugs
5.3 No Clues, Hard Bugs
5.4 Last Resorts
5.5 Non-reproducible Bugs
5.6 Debugging Tools
5.7 Other People's Bugs
5.8 Summary
Chapter 6: Testing
6.1 Test as You Write the Code
6.2 Systematic Testing
6.3 Test Automation
6.4 Test Scaffolds
6.5 Stress tests
6.6 Tips for Testing
6.7 Who Does the Testing?
6.8 Testing the Markov Program
6.9 Summary
Chapter 7: Performance
7.1 A bottleneck
7.2 Timing and Profiling
7.3 Strategies for Speed
7.4 Tuning the Code
7.5 Space Efficiency
7.6 Estimation
7.7 Summary
Chapter 8: Portability
8.1 Language
8.2 Headers and Libraries
8.3 Program Organization
8.4 Isolation
8.5 Data Exchange
8.6 Byte Order
8.7 Portability and Upgrade
8.8 Internationalization
8.9 Summary
Chapter 9: Notation
9. 1 Formatting Data
9.2 Regular Expressions
9.3 Programmab1e Tools
9.4 InterPreters, Compilers, and Virtual Machines
9.5 Programs that Write Programs
9.6 Using Macros to Generate Code
9.7 Compiling on the Fly
Epilogue
Appendix: Collected Rules
Index
