As programmers, we've all seen source code that's so ugly and buggy it makes our brain ache. Over the past five years, authors Dustin Boswell and Trevor Foucher have analyzed hundreds of examples of "bad code" (much of it their own) to determine why they're bad and how they could be improved. Their conclusion? You need to write code that minimizes the time it would take someone else to understand it - even if that someone else is you. This book focuses on basic principles and practical techniques you can apply every time you write code. Using easy-to-digest code examples from different…mehr
As programmers, we've all seen source code that's so ugly and buggy it makes our brain ache. Over the past five years, authors Dustin Boswell and Trevor Foucher have analyzed hundreds of examples of "bad code" (much of it their own) to determine why they're bad and how they could be improved. Their conclusion? You need to write code that minimizes the time it would take someone else to understand it - even if that someone else is you. This book focuses on basic principles and practical techniques you can apply every time you write code. Using easy-to-digest code examples from different languages, each chapter dives into a different aspect of coding, and demonstrates how you can make your code easy to understand. Simplify naming, commenting, and formatting with tips that apply to every line of code Refine your program's loops, logic, and variables to reduce complexity and confusion Attack problems at the function level, such as reorganizing blocks of code to do one task at a time Write effective test code that is thorough and concise - as well as readable "Being aware of how the code you create affects those who look at it later is an important part of developing software. The authors did a great job in taking you through the different aspects of this challenge, explaining the details with instructive examples." - Michael Hunger, passionate Software DeveloperHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Although raised in the circus, Dustin Boswell realized early on that he was better at computers than at acrobatics. Dustin received his B.S. from CalTech, where he got hooked on Computer Science, and then went to UC San Diego for his Master's Degree. He worked at Google for five years, on a variety of projects including web crawling infrastructure. Dustin is now an internet startup junkie who spends his free time hiking the Santa Monica mountains and being a new dad. Trevor Foucher has been shipping software projects for over 10 years, including Windows 2000 and OneCare at Microsoft, and Webmaster Tools at Google. He's been an individual contributor, manager, and tech lead. His goal is to make code more readable and reliable.
Inhaltsangabe
Preface What This Book Is About How to Read This Book Using Code Examples Safari® Books Online How to Contact Us Acknowledgments Chapter 1: Code Should Be Easy to Understand 1.1 What Makes Code "Better"? 1.2 The Fundamental Theorem of Readability 1.3 Is Smaller Always Better? 1.4 Does Time-Till-Understanding Conflict with Other Goals? 1.5 The Hard Part Surface-Level Improvements Chapter 2: Packing Information into Names 2.1 Choose Specific Words 2.2 Avoid Generic Names Like tmp and retval 2.3 Prefer Concrete Names over Abstract Names 2.4 Attaching Extra Information to a Name 2.5 How Long Should a Name Be? 2.6 Use Name Formatting to Convey Meaning 2.7 Summary Chapter 3: Names That Can't Be Misconstrued 3.1 Example: Filter() 3.2 Example: Clip(text, length) 3.3 Prefer min and max for (Inclusive) Limits 3.4 Prefer first and last for Inclusive Ranges 3.5 Prefer begin and end for Inclusive/Exclusive Ranges 3.6 Naming Booleans 3.7 Matching Expectations of Users 3.8 Example: Evaluating Multiple Name Candidates 3.9 Summary Chapter 4: Aesthetics 4.1 Why Do Aesthetics Matter? 4.2 Rearrange Line Breaks to Be Consistent and Compact 4.3 Use Methods to Clean Up Irregularity 4.4 Use Column Alignment When Helpful 4.5 Pick a Meaningful Order, and Use It Consistently 4.6 Organize Declarations into Blocks 4.7 Break Code into "Paragraphs" 4.8 Personal Style versus Consistency 4.9 Summary Chapter 5: Knowing What to Comment 5.1 What NOT to Comment 5.2 Recording Your Thoughts 5.3 Put Yourself in the Reader's Shoes 5.4 Final Thoughts-Getting Over Writer's Block 5.5 Summary Chapter 6: Making Comments Precise and Compact 6.1 Keep Comments Compact 6.2 Avoid Ambiguous Pronouns 6.3 Polish Sloppy Sentences 6.4 Describe Function Behavior Precisely 6.5 Use Input/Output Examples That Illustrate Corner Cases 6.6 State the Intent of Your Code 6.7 "Named Function Parameter" Comments 6.8 Use Information-Dense Words 6.9 Summary Simplifying Loops and Logic Chapter 7: Making Control Flow Easy to Read 7.1 The Order of Arguments in Conditionals 7.2 The Order of if/else Blocks 7.3 The ?: Conditional Expression (a.k.a. "Ternary Operator") 7.4 Avoid do/while Loops 7.5 Returning Early from a Function 7.6 The Infamous goto 7.7 Minimize Nesting 7.8 Can You Follow the Flow of Execution? 7.9 Summary Chapter 8: Breaking Down Giant Expressions 8.1 Explaining Variables 8.2 Summary Variables 8.3 Using De Morgan's Laws 8.4 Abusing Short-Circuit Logic 8.5 Example: Wrestling with Complicated Logic 8.6 Breaking Down Giant Statements 8.7 Another Creative Way to Simplify Expressions 8.8 Summary Chapter 9: Variables and Readability 9.1 Eliminating Variables 9.2 Shrink the Scope of Your Variables 9.3 Prefer Write-Once Variables 9.4 A Final Example 9.5 Summary Reorganizing Your Code Chapter 10: Extracting Unrelated Subproblems 10.1 Introductory Example: findClosestLocation() 10.2 Pure Utility Code 10.3 Other General-Purpose Code 10.4 Create a Lot of General-Purpose Code 10.5 Project-Specific Functionality 10.6 Simplifying an Existing Interface 10.7 Reshaping an Interface to Your Needs 10.8 Taking Things Too Far 10.9 Summary Chapter 11: One Task at a Time 11.1 Tasks Can Be Small 11.2 Extracting Values from an Object 11.3 A Larger Example 11.4 Summary Chapter 12: Turning Thoughts into Code 12.1 Describing Logic Clearly 12.2 Knowing Your Libraries Helps 12.3 Applying This Method to Larger Problems 12.4 Summary Chapter 13: Writing Less Code 13.1 Don't Bother Implementing That Feature-You Won't Need It 13.2 Question and Break Down Your Requirements 13.3 Keeping Your Codebase Small 13.4 Be Familiar with the Libraries Around You 13.5 Example: Using Unix Tools Instead of Coding 13.6 Summary Selected Topics Chapter 14: Testing and Readability 14.1 Make Tests Easy to Read and Maintain 14.2 What's Wrong with This Test? 14.3 Making This Test More Readable 14.4 Making Error Messages Readable 14.5 Choosing Good Test Inputs 14.6 Naming Test Functions 14.7 What Was Wrong with That Test? 14.8 Test-Friendly Development 14.9 Going Too Far 14.10 Summary Chapter 15: Designing and Implementing a "Minute/Hour Counter" 15.1 The Problem 15.2 Defining the Class Interface 15.3 Attempt 1: A Naive Solution 15.4 Attempt 2: Conveyor Belt Design 15.5 Attempt 3: A Time-Bucketed Design 15.6 Comparing the Three Solutions 15.7 Summary Further Reading Books on Writing High-Quality Code Books on Various Programming Topics Books of Historical Note Colophon
Preface What This Book Is About How to Read This Book Using Code Examples Safari® Books Online How to Contact Us Acknowledgments Chapter 1: Code Should Be Easy to Understand 1.1 What Makes Code "Better"? 1.2 The Fundamental Theorem of Readability 1.3 Is Smaller Always Better? 1.4 Does Time-Till-Understanding Conflict with Other Goals? 1.5 The Hard Part Surface-Level Improvements Chapter 2: Packing Information into Names 2.1 Choose Specific Words 2.2 Avoid Generic Names Like tmp and retval 2.3 Prefer Concrete Names over Abstract Names 2.4 Attaching Extra Information to a Name 2.5 How Long Should a Name Be? 2.6 Use Name Formatting to Convey Meaning 2.7 Summary Chapter 3: Names That Can't Be Misconstrued 3.1 Example: Filter() 3.2 Example: Clip(text, length) 3.3 Prefer min and max for (Inclusive) Limits 3.4 Prefer first and last for Inclusive Ranges 3.5 Prefer begin and end for Inclusive/Exclusive Ranges 3.6 Naming Booleans 3.7 Matching Expectations of Users 3.8 Example: Evaluating Multiple Name Candidates 3.9 Summary Chapter 4: Aesthetics 4.1 Why Do Aesthetics Matter? 4.2 Rearrange Line Breaks to Be Consistent and Compact 4.3 Use Methods to Clean Up Irregularity 4.4 Use Column Alignment When Helpful 4.5 Pick a Meaningful Order, and Use It Consistently 4.6 Organize Declarations into Blocks 4.7 Break Code into "Paragraphs" 4.8 Personal Style versus Consistency 4.9 Summary Chapter 5: Knowing What to Comment 5.1 What NOT to Comment 5.2 Recording Your Thoughts 5.3 Put Yourself in the Reader's Shoes 5.4 Final Thoughts-Getting Over Writer's Block 5.5 Summary Chapter 6: Making Comments Precise and Compact 6.1 Keep Comments Compact 6.2 Avoid Ambiguous Pronouns 6.3 Polish Sloppy Sentences 6.4 Describe Function Behavior Precisely 6.5 Use Input/Output Examples That Illustrate Corner Cases 6.6 State the Intent of Your Code 6.7 "Named Function Parameter" Comments 6.8 Use Information-Dense Words 6.9 Summary Simplifying Loops and Logic Chapter 7: Making Control Flow Easy to Read 7.1 The Order of Arguments in Conditionals 7.2 The Order of if/else Blocks 7.3 The ?: Conditional Expression (a.k.a. "Ternary Operator") 7.4 Avoid do/while Loops 7.5 Returning Early from a Function 7.6 The Infamous goto 7.7 Minimize Nesting 7.8 Can You Follow the Flow of Execution? 7.9 Summary Chapter 8: Breaking Down Giant Expressions 8.1 Explaining Variables 8.2 Summary Variables 8.3 Using De Morgan's Laws 8.4 Abusing Short-Circuit Logic 8.5 Example: Wrestling with Complicated Logic 8.6 Breaking Down Giant Statements 8.7 Another Creative Way to Simplify Expressions 8.8 Summary Chapter 9: Variables and Readability 9.1 Eliminating Variables 9.2 Shrink the Scope of Your Variables 9.3 Prefer Write-Once Variables 9.4 A Final Example 9.5 Summary Reorganizing Your Code Chapter 10: Extracting Unrelated Subproblems 10.1 Introductory Example: findClosestLocation() 10.2 Pure Utility Code 10.3 Other General-Purpose Code 10.4 Create a Lot of General-Purpose Code 10.5 Project-Specific Functionality 10.6 Simplifying an Existing Interface 10.7 Reshaping an Interface to Your Needs 10.8 Taking Things Too Far 10.9 Summary Chapter 11: One Task at a Time 11.1 Tasks Can Be Small 11.2 Extracting Values from an Object 11.3 A Larger Example 11.4 Summary Chapter 12: Turning Thoughts into Code 12.1 Describing Logic Clearly 12.2 Knowing Your Libraries Helps 12.3 Applying This Method to Larger Problems 12.4 Summary Chapter 13: Writing Less Code 13.1 Don't Bother Implementing That Feature-You Won't Need It 13.2 Question and Break Down Your Requirements 13.3 Keeping Your Codebase Small 13.4 Be Familiar with the Libraries Around You 13.5 Example: Using Unix Tools Instead of Coding 13.6 Summary Selected Topics Chapter 14: Testing and Readability 14.1 Make Tests Easy to Read and Maintain 14.2 What's Wrong with This Test? 14.3 Making This Test More Readable 14.4 Making Error Messages Readable 14.5 Choosing Good Test Inputs 14.6 Naming Test Functions 14.7 What Was Wrong with That Test? 14.8 Test-Friendly Development 14.9 Going Too Far 14.10 Summary Chapter 15: Designing and Implementing a "Minute/Hour Counter" 15.1 The Problem 15.2 Defining the Class Interface 15.3 Attempt 1: A Naive Solution 15.4 Attempt 2: Conveyor Belt Design 15.5 Attempt 3: A Time-Bucketed Design 15.6 Comparing the Three Solutions 15.7 Summary Further Reading Books on Writing High-Quality Code Books on Various Programming Topics Books of Historical Note Colophon
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/neu
