If you are a programmer, you need this book.You've got a day to add a new feature in a 34,000-line program: Where do you start? "Page 333"How can you understand and simplify an inscrutable piece of code? "Page 39"Where do you start when disentangling a complicated build process? "Page 167" How do you comprehend code that appears to be doing five things in parallel? "Page 132"
You may read code because you have to--to fix it, inspect it, or improve it. You may read code the way an engineer examines a machine--to discover what makes it tick. Or you may read code because you are scavenging--looking for material to reuse.
Code-reading requires its own set of skills, and the ability to determine which technique you use when is crucial. In this indispensable book, Diomidis Spinellis uses more than 600 real-world examples to show you how to identify good (and bad) code: how to read it, what to look for, and how to use this knowledge to improve your own code.
Fact: If you make a habit of reading good code, you will write better code yourself.
0201799405B02032003
If you are a programmer, you need this book.You've got a day to add a new feature in a 34,000-line program: Where do you start? "Page 333"How can you understand and simplify an inscrutable piece of code? "Page 39"Where do you start when disentangling a complicated build process? "Page 167" How do you comprehend code that appears to be doing five things in parallel? "Page 132"
You may read code because you have to--to fix it, inspect it, or improve it. You may read code the way an engineer examines a machine--to discover what makes it tick. Or you may read code because you are scavenging--looking for material to reuse.
Code-reading requires its own set of skills, and the ability to determine which technique you use when is crucial. In this indispensable book, Diomidis Spinellis uses more than 600 real-world examples to show you how to identify good (and bad) code: how to read it, what to look for, and how to use this knowledge to improve your own code.
Fact: If you make a habit of reading good code, you will write better code yourself.
0201799405B02032003
Foreword.
Preface.
1. Introduction.
Why and How to Read Code. Code as Literature. Code as Exemplar.
Maintenance. Evolution. Reuse. Inspections. How to Read this Book.
Typographical Conventions. Diagrams. Exercises. Supplementary
Material. Tools. Outline. The Great Language Debate.
2. Basic Programming Elements.
A Complete Program. Functions and Global Variables. While,
Conditions, Blocks. Switch. For. Break, Continue. Character and
Boolean Expressions. Goto. Refactoring in the Small. Do, Integer
Expressions. Control Structures Revisited.
3. Advanced C Data Types.
Pointers. Linked Data Structures. Dynamic Allocation of Data
Structures. Call by Reference. Data Element Access. Arrays as
Arguments and Results. Function Pointers. Pointer as an Alias.
Pointers and Strings. Direct Memory Access. Structures. Grouping
Together Data Elements. Returning Multiple Data Elements from a
Function. Mapping the Organization of Data. Programming in an
Object-Oriented Fashion. Unions. Efficient Use of Storage.
Implementing Polymorphism. Accessing Different Internal
Representations. Dynamic Memory Allocation. Managing Free Memory.
Structures with Dynamically-Allocated Arrays. Typedef
Declarations.
4. C Data Structures.
Vector. Matrix and Table. Stack. Queue. Map. Hash Tables. Set.
Linked List. Tree. Graph. Node Storage. Edge Representation. Edge
Storage. Graph Properties. Hidden Structures. Other
Representations.
5. Advanced Control Flow.
Recursion. Exceptions. Parallelism. Hardware and Software
Parallelism. Control Models. Thread Implementations. Signals.
Nonlocal Jumps. Macro Substitution.
6. Tackling Large Projects.
Design and Implementation Techniques. Project Organization. The
Build Process and Makefiles. Configuration. Revision Control.
Project-Specific Tools. Testing.
7. Coding Standards and Conventions.
File Names and Organization. Indentation. Formatting. Naming
Conventions. Programming Practices. Process Standards.
8. Documentation.
Documentation Types. Reading Documentation. Documentation Problems.
Additional Documentation Sources. Common Open-Source Documentation
Formats.
9. Architecture.
System Structures. Centralized Repository and Distributed
Approaches. Data-Flow. Object-Oriented. Layered. Hierarchies.
Slicing. Control Models. Event-Driven Systems. System Manager.
State Transition. Element Packaging. Module. Namespace. Object.
Generic Implementation. Abstract Data Type. Library. Process and
Filter. Component. Data Repository. Architecture Reuse. Frameworks.
Code Wizards. Design Patterns. Domain-Specific Architectures.
10. Code-Reading Tools.
Regular Expressions. The Editor as a Code Browser. Code Searching
With Grep. Locating File Differences. Roll your Own Tool. The
Compiler as a Code-Reading Tool. Code Browsers and Beautifiers.
Run-Time Tools. Non-software Tools.
11. A Complete Example.
Overview. Attack Plan. Code Reuse. Testing and Debugging.
Documentation. Observations.
Appendix A. Outline of the Code Provided.
Appendix B. Source Code Credits.
Appendix C. Referenced Source Files.
Appendix D. Source Code Licenses.
BSD. X. ACE. Apache. DemoGL. OpenCL. ArgoUML. Perl.
Appendix E. Maxims for Reading Code.
Bibliography.
Index.
Author Index. 0201799405T01162003
Diomidis Spinellis has been developing the concepts presented in this book since 1985, while also writing groundbreaking software applications and working on multimillion-line code bases. Spinellis holds an M.Eng. degree in software engineering and a Ph.D. in computer science from Imperial College London. Currently he is an associate professor in the Department of Management Science and Technology at the Athens University of Economics and Business.
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