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Code Complete Microsoft 2

Сумата се прибавя директно в кошницата

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Описание

Contents at a Glance

Part I Laying the Foundation

1 Welcome to Software Construction 3

2 Metaphors for a Richer Understanding of Software Development 9

3 Measure Twice, Cut Once: Upstream Prerequisites 23

4 Key Construction Decisions 61

Part II Creating High-Quality Code

5 Design in Construction 73

6 Working Classes 125

7 High-Quality Routines 161

8 Defensive Programming 187

9 The Pseudocode Programming Process 215

Part III Variables

10 General Issues in Using Variables 237

11 The Power of Variable Names 259

12 Fundamental Data Types 291

13 Unusual Data Types 319

Part IV Statements

14 Organizing Straight-Line Code 347

15 Using Conditionals 355

16 Controlling Loops 367

17 Unusual Control Structures 391

18 Table-Driven Methods 411

19 General Control Issues 431

Part v Code Improvements

20 The Software-Quality Landscape 463

21 Collaborative Construction 479

22 Developer Testing 499

23 Debugging 535

24 Refactoring 563

25 Code-Tuning Strategies 587

26 Code-Tuning Techniques 609

Part vi System Considerations

27 How Program Size Affects Construction 649

28 Managing Construction 661

29 Integration 689

30 Programming Tools 709

Part vii Software Craftsmanship

31 Layout and Style 729

32 Self-Documenting Code 777

33 Personal Character 819

34 Themes in Software Craftsmanship 837

35 Where to Find More Information 855

Table of Contents

Preface xix

Acknowledgments xxvii

List of Checklists xxix

List of Tables xxxi

List of Figures xxxiii

Part I Laying the Foundation

1 Welcome to Software Construction 3

1.1 What Is Software Construction? 3

1.2 Why Is Software Construction Important? 6

1.3 How to Read This Book 8

2 Metaphors for a Richer Understanding of Software Development 9

2.1 The Importance of Metaphors 9

2.2 How to Use Software Metaphors 11

2.3 Common Software Metaphors 13

3 Measure Twice, Cut Once: Upstream Prerequisites 23

3.1 Importance of Prerequisites 24

3.2 Determine the Kind of Software You're Working On 31

3.3 Problem-Definition Prerequisite 36

3.4 Requirements Prerequisite 38

3.5 Architecture Prerequisite 43

3.6 Amount of Time to Spend on Upstream Prerequisites 55

4 Key Construction Decisions 61

4.1 Choice of Programming Language 61

4.2 Programming Conventions 66

4.3 Your Location on the Technology Wave 66

4.4 Selection of Major Construction Practices 69

Part II Creating High-Quality Code

5 Design in Construction 73

5.1 Design Challenges 74

5.2 Key Design Concepts 77

5.3 Design Building Blocks: Heuristics 87

5.4 Design Practices 110

5.5 Comments on Popular Methodologies 118

6 Working Classes 125

6.1 Class Foundations: Abstract Data Types (ADTs) 126

6.2 Good Class Interfaces 133

6.3 Design and Implementation Issues 143

6.4 Reasons to Create a Class 152

6.5 Language-Specific Issues 156

6.6 Beyond Classes: Packages 156

7 High-Quality Routines 161

7.1 Valid Reasons to Create a Routine 164

7.2 Design at the Routine Level 168

7.3 Good Routine Names 171

7.4 How Long Can a Routine Be? 173

7.5 How to Use Routine Parameters 174

7.6 Special Considerations in the Use of Functions 181

7.7 Macro Routines and Inline Routines 182

8 Defensive Programming 187

8.1 Protecting Your Program from Invalid Inputs 188

8.2 Assertions 189

8.3 Error-Handling Techniques 194

8.4 Exceptions 198

8.5 Barricade Your Program to Contain the Damage Caused by Errors 203

8.6 Debugging Aids 205

8.7 Determining How Much Defensive Programming to Leave in

Production Code 209

8.8 Being Defensive About Defensive Programming 210

9 The Pseudocode Programming Process 215

9.1 Summary of Steps in Building Classes and Routines 216

9.2 Pseudocode for Pros 218

9.3 Constructing Routines by Using the PPP 220

9.4 Alternatives to the PPP 232

Part ill Variables

10 General Issues in Using Variables 237

10.1 Data Literacy 238

10.2 Making Variable Declarations Easy 239

10.3 Guidelines for Initializing Variables 240

10.4 Scope 244

10.5 Persistence 251

10.6 Binding Time 252

10.7 Relationship Between Data Types and Control Structures 254

10.8 Using Each Variable for Exactly One Purpose 255

11 The Power of Variable Names 259

11.1 Considerations in Choosing Good Names 259

11.2 Naming Specific Types of Data 264

11.3 The Power of Naming Conventions 270

11.4 Informal Naming Conventions 272

11.5 Standardized Prefixes 279

11.6 Creating Short Names That Are Readable 282

11.7 Kinds of Names to Avoid 285

12 Fundamental Data Types 291

12.1 Numbers in General 292

12.2 Integers 293

12.3 Floating-Point Numbers 295

12.4 Characters and Strings 297

12.5 Boolean Variables 301

12.6 Enumerated Types 303

12.7 Named Constants 307

12.8 Arrays 310

12.9 Creating Your Own Types (Type Aliasing) 311