Agile Estimating and Planning (Paperback)

Mike Cohn

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Do you spend too much time doing repetitive production tasks such as placing and replacing images, resizing them, dragging them from one document to another, and preparing images for printing instead of being creative? Do you use Adobe Acrobat and have a strong working knowledge of JavaScript? Then you're in luck. Since Adobe Creative Suite 2 was created with built-in support for scripting, virtually every repetitive or time-consuming task that creative professionals have to do in Acrobat can be streamlined or automated with the help of a script. This book describes how to use JavaScript to manipulate and extend Adobe Acrobat, and provides reference information for the JavaScript objects, properties, and functions defined by Adobe's applications. Now available in print for the first time, this book doesn't teach you how to write code in JavaScript, but if you're familiar with the scripting language, and want to start writing scripts for Acrobat, you'll appreciate having the most definitive, up-to-date referenceavailable. 

 

Table of Contents

 

 

About the Author xvii

Foreword by Robert C. Martin xix

Foreword by Jim Highsmith xxi

Foreword by Gabrielle Benefield xxv

Acknowledgments xxvii

Introduction xxix

Part I: The Problem and the Goal 1

Chapter 1: The Purpose of Planning 3

Why Do It? 5

What Makes a Good Plan? 8

What Makes Planning Agile? 9

Summary 10

Discussion Questions 10

Chapter 2: Why Planning Fails 11

Planning Is by Activity Rather Than Feature 12

Multitasking Causes Further Delays 15

Features Are Not Developed by Priority 17

We Ignore Uncertainty 17

Estimates Become Commitments 18

Summary 18

Discussion Questions 19

Chapter 3: An Agile Approach 21

An Agile Approach to Projects 23

An Agile Approach to Planning 27

Summary 31

Discussion Questions 32

Part II: Estimating Size 33

Chapter 4: Estimating Size with Story Points 35

Story Points Are Relative 36

Velocity 38

Summary 40

Discussion Questions 41

Chapter 5: Estimating in Ideal Days 43

Ideal Time and Software Development 44

Ideal Days as a Measure of Size 46

One Estimate, Not Many 46

Summary 47

Discussion Questions 47

Chapter 6: Techniques for Estimating 49

Estimates Are Shared 51

The Estimation Scale 52

Deriving an Estimate 54

Planning Poker 56

Why Planning Poker Works 59

Summary 60

Discussion Questions 60

Chapter 7: Re-Estimating 61

Introducing the SwimStats Website 61

When Not to Re-Estimate 62

When to Re-Estimate 64

Re-Estimating Partially Completed Stories 66

The Purpose of Re-Estimating 67

Summary 67

Discussion Questions 67

Chapter 8: Choosing between Story Points and Ideal Days 69

Considerations Favoring Story Points 69

Considerations Favoring Ideal Days 72

Recommendation 73

Summary 74

Discussion Questions 75

Part III: Planning for Value 77

Chapter 9: Prioritizing Themes 79

Factors in Prioritization 80

Combining the Four Factors 86

Some Examples 86

Summary 88

Discussion Questions 89

Chapter 10: Financial Prioritization 91

Sources of Return 93

An Example: WebPayroll 96

Financial Measures 102

Comparing Returns 108

Summary 109

Discussion Questions 109

Chapter 11: Prioritizing Desirability 111

Kano Model of Customer Satisfaction 112

Relative Weighting: Another Approach 117

Summary 119

Discussion Questions 120

Chapter 12: Splitting User Stories 121

When to Split a User Story 121

Splitting across Data Boundaries 122

Splitting on Operational Boundaries 124

Removing Cross-Cutting Concerns 125

Don't Meet Performance Constraints 126

Split Stories of Mixed Priority 127

Don't Split a Story into Tasks 127

Avoid the Temptation of Related Changes 128

Combining Stories 128

Summary 129

Discussion Questions 129

Part IV: Scheduling 131

Chapter 13: Release Planning Essentials 133

The Release Plan 134

Updating the Release Plan 138

An Example 139

Summary 142

Discussion Questions 143

Chapter 14: Iteration Planning 145

Tasks Are Not Allocated During Iteration Planning 147

How Iteration and Release Planning Differ 148

Velocity-Driven Iteration Planning 149

Commitment-Driven Iteration Planning 158

My Recommendation 162

Relating Task Estimates to Story Points 163

Summary 165

Discussion Questions 166

Chapter 15: Selecting an Iteration Length 167

Factors in Selecting an Iteration Length 167

Making a Decision 171

Two Case Studies 173

Summary 175

Discussion Questions 176

Chapter 16: Estimating Velocity 177

Use Historical Values 178

Run an Iteration 179

Make a Forecast 181

Which Approach Should I Use? 185

Summary 186

Discussion Questions 186

Chapter 17: Buffering Plans for Uncertainty 187

Feature Buffers 188

Schedule Buffers 189

Combining Buffers 198

A Schedule Buffer Is Not Padding 199

Some Caveats 199

Summary 200

Discussion Questions 201

Chapter 18: Planning the Multiple-Team Project 203

Establishing a Common Basis for Estimates 204

Adding Detail to User Stories Sooner 205

Lookahead Planning 206

Incorporating Feeding Buffers into the Plan 208

But This Is So Much Work 210

Summary 210

Discussion Questions 211

Part V: Tracking and Communicating 213

Chapter 19: Monitoring the Release Plan 215

Tracking the Release 216

Release Burndown Charts 219

A Parking-Lot Chart 224

Summary 225

Discussion Questions 226

Chapter 20: Monitoring the Iteration Plan 227

The Task Board 227

Iteration Burndown Charts 230

Tracking Effort Expended 231

Individual Velocity 232

Summary 232

Discussion Questions 233

Chapter 21: Communicating about Plans 235

Communicating the Plan 237

Communicating Progress 238

An End-of-Iteration Summary 241

Summary 244

Discussion Questions 245

Part VI: Why Agile Planning Works 247

Chapter 22: Why Agile Planning Works 249

Replanning Occurs Frequently 249

Estimates of Size and Duration Are Separated 250

Plans Are Made at Different Levels 251

Plans Are Based on Features, Not Tasks 252

Small Stories Keep Work Flowing 252

Work in Process Is Eliminated Every Iteration 252

Tracking Is at the Team Level 253

Uncertainty Is Acknowledged and Planned For 253

A Dozen Guidelines for Agile Estimating and Planning 254

Summary 256

Discussion Questions 257

Part VII: A Case Study 259

Chapter 23: A Case Study: Bomb Shelter Studios 261

Day 1—Monday Morning 262

Estimating the User Stories 270

Preparing for Product Research 281

Iteration and Release Planning, Round 1 284

Two Weeks Later 302

Planning the Second Iteration 303

Two Weeks Later 305

Revising the Release Plan 305

Presenting the Revised Plan to Phil 308

Eighteen Weeks Later 312

Reference List 313

Index 319

商品描述(中文翻譯)

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你是否花太多時間在重複性的製作任務上,例如放置和替換圖片、調整大小、從一個文件拖放到另一個文件,以及為打印準備圖片,而無法發揮創造力?你是否使用Adobe Acrobat並對JavaScript有著良好的工作知識?那麼你很幸運。由於Adobe Creative Suite 2內建了對腳本的支援,幾乎所有創意專業人士在Acrobat中需要做的重複性或耗時任務都可以通過腳本來簡化或自動化。本書介紹了如何使用JavaScript來操作和擴展Adobe Acrobat,並提供了Adobe應用程序定義的JavaScript對象、屬性和函數的參考信息。這本書首次以印刷形式發行,它不教你如何用JavaScript編寫代碼,但如果你熟悉這種腳本語言,並且想開始為Acrobat編寫腳本,你會喜歡擁有這本最權威、最新的參考資料。


 


目錄



 


 

作者簡介 xvii


Robert C. Martin序言 xix


Jim Highsmith序言 xxi


Gabrielle Benefield序言 xxv


致謝辭 xxvii


引言 xxix


第一部分:問題和目標 1


第1章:計劃的目的 3


為什麼要計劃? 5


什麼是好的計劃? 8


敏捷計劃的特點是什麼? 9


總結 10


討論問題 10


第2章:計劃失敗的原因 11


計劃以活動為基礎,而不是以功能為基礎 12


多任務導致進一步延遲 15


功能按優先順序開發 17


我們忽略了不確定性 17


估算變成承諾 18


總結 18


討論問題 19


第3章:敏捷方法 21


項目的敏捷方法 23


計劃的敏捷方法 27


總結 31


討論問題 32


第二部分:估算大小 33


第4章:使用故事點估算大小 35


故事點是相對的 36


速度 38


總結 40


討論問題 41


第5章:以理想天數估算 43


理想時間和軟體開發 44


理想天數作為大小的衡量 46


只有一個估算,而不是多個 46


總結 47


討論問題 47


第6章:估算技巧 49


共享估算 51


估算尺度 52


推導估算 54


規劃撲克 56


為什麼規劃撲克有效 59


總結 60


討論問題 60


第7章:重新估算 61


介紹SwimStats網站 61


何時不需要重新估算 62


何時需要重新估算 64


重新估算部分完成的故事 66


重新估算的目的 67


總結 67


討論問題 67


Chapte```