Agile Estimating and Planning
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Agile Estimating and Planning

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Description

Detailed, Proven Techniques for Estimating and Planning Any Agile Project Agile Estimating and Planning is the definitive, practical guide to estimating and planning agile projects. In this book, Agile Alliance cofounder Mike Cohn discusses the philosophy of agile estimating and planning and shows you exactly how to get the job done, with real-world examples and case studies.

Concepts are clearly illustrated and readers are guided, step by step, toward how to answer the following questions: What will we build? How big will it be? When must it be done? How much can I really complete by then? You will first learn what makes a good plan-and then what makes it agile.

Using the techniques in Agile Estimating and Planning, you can stay agile from start to finish, saving time, conserving resources, and accomplishing more. Highlights include:



Why conventional prescriptive planning fails and why agile planning works



How to estimate feature size using story points and ideal days--and when to use each



How and when to re-estimate



How to prioritize features using both financial and nonfinancial approaches



How to split large features into smaller, more manageable ones



How to plan iterations and predict your team's initial rate of progress



How to schedule projects that have unusually high uncertainty or schedule-related risk



How to estimate projects that will be worked on by multiple teams

Agile Estimating and Planning supports any agile, semiagile, or iterative process, including Scrum, XP, Feature-Driven Development, Crystal, Adaptive Software Development, DSDM, Unified Process, and many more. It will be an indispensable resource for every development manager, team leader, and team member.
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Pearson Programming and Web Development

Product details

  • Paperback | 368 pages
  • 178.56 x 233.93 x 19.81mm | 594.21g
  • Pearson
  • Upper Saddle River, NJ, United States
  • English
  • 0131479415
  • 9780131479418
  • 31,152

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
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About Mike Cohn

Mike Cohn is the founder of Mountain Goat Software, a process and project management consultancy and training firm. With more than twenty years of experience, Mike has been a technology executive in companies ranging from start-ups to Fortune 40s, and is a founding member of the Agile Alliance. He frequently contributes to industry-related magazines and presents regularly at conferences. He is the author of User Stories Applied (Addison-Wesley, 2004).
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2 3% (70)
1 1% (30)
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