Software Engineering With Microsoft Visual

The definitive introduction to Microsoft's new suite of software development tools, direct from the lead developer.

Sam Guckenheimer is the group product planner for Microsoft Visual Studio Team System

About the Author

xvii

Foreword

xix

Preface

xxi

Acknowledgments

xxix

A Value-Up Paradigm

1

(26)

A Paradigm Shift

2

(2)

Three Forces to Reconcile

2

(1)

What Software Is Worth Building?

3

(1)

Contrasting Paradigms

4

(4)

Attention to Flow

8

(5)

Contrast to Work-Down

10

(1)

Transparency

11

(2)

One Work Item Database

13

(8)

Instrument Daily Activities

17

(4)

Fit the Process to the Project

21

(1)

Summary

22

(1)

Endnotes

23

(4)

Value-Up Processes

27

(22)

Microsoft Solutions Framework

28

(2)

Iteration

30

(6)

Why Iterate?

30

(2)

Length

32

(1)

Different Horizons, Different Granularity

33

(1)

Prioritization

33

(2)

Adapting Process

35

(1)

Risk Management

36

(1)

Fit the Process to the Project

37

(9)

Adaptive Versus Plan-Driven

38

(1)

Required Documentation Versus Tacit Knowledge

39

(1)

Implicit Versus Explicit Sign-Off Gates and Governance Model

40

(1)

Auditability and Regulatory Concerns

41

(2)

Prescribed Versus Self-Organization

43

(1)

One Project at a Time Versus Many Projects at Once

43

(2)

Geographic and Organizational Boundaries

45

(1)

Summary

46

(1)

Endnotes

47

(2)

Requirements

49

(30)

What's Your Vision?

50

(2)

Strategic Projects

51

(1)

Adaptive Projects

51

(1)

When to Detail Requirements

52

(3)

Requirements Are Perishable

52

(1)

Who Cares About Requirements

53

(2)

Personas and Scenarios

55

(10)

Start with Personas

55

(1)

Scenarios

56

(1)

Research Techniques

57

(2)

Get Specific Early

59

(1)

Storyboards

60

(1)

Breadth of Scenarios

61

(1)

Customer Validation

62

(2)

Evolving Scenarios

64

(1)

Personas and Scenarios and Their Alternatives

65

(1)

Actors and Use Cases

65

(1)

User Stories

66

(1)

Exciters, Satisfiers, and Dissatisfiers

66

(1)

Qualities of Service

67

(4)

Security and Privacy

68

(1)

Performance

68

(1)

User Experience

69

(1)

Manageability

70

(1)

Kano Analysis

71

(4)

Technology Adoption Lifecycle

73

(1)

Gathering the Data

74

(1)

Summary

75

(1)

Endnotes

76

(3)

Project Management

79

(36)

Understanding Variation

81

(2)

Using Descriptive Rather Than Prescriptive Metrics

83

(3)

Many Dimensions of Project Health

86

(1)

Answering Everyday Questions

86

(12)

Remaining Work

88

(2)

Project Velocity

90

(1)

Unplanned Work

91

(1)

Quality Indicators

92

(1)

Bug Rates

93

(2)

Reactivations

95

(1)

Bugs by Priority

95

(2)

Actual Quality Versus Planned Velocity

97

(1)

Estimating an Iteration

98

(6)

Top-Down

99

(1)

Bottom-Up

100

(1)

Refinements

100

(2)

Estimation Quality

102

(1)

Retrospectives

103

(1)

Triage

104

(5)

A Triage Exercise

104

(2)

What Makes Triage Effective: The Red Line

106

(2)

What Happens During Triage

108

(1)

Escalating and Resolving Issues

108

(1)

Iterations and Triage

108

(1)

Satisfying the Auditor

109

(3)

Summary

112

(1)

Endnotes

112

(3)

Architectural Design

115

(18)

A Value-Up View of Architecture

116

(1)

Service-Oriented Architecture

116

(3)

Web Services and SOA

118

(1)

Contract-First Design

118

(1)

Constraints with Degrees of Freedom

119

(5)

Baseline Architecture

119

(2)

Validate Architectural Decisions

121

(1)

Refining the Baseline

121

(1)

Reference Architectures

122

(2)

VSTS and Service-Oriented Architecture

124

(2)

Quality of Service Mindset

126

(2)

Security

127

(1)

Performance

127

(1)

Citizenship Mindset

128

(1)

Design for Operations

128

(3)

Summary

131

(1)

Endnotes

131

(2)

Development

133

(32)

A Value-Up View of Development

134

(1)

Quality from a Developer's Point of View

134

(2)

Using Test-Driven Development to Ensure Requirements Clarity

136

(2)

Addressing Programming Errors with Code Reviews, Automated and Manual

138

(3)

Automated Code Analysis

139

(1)

Manual Code Reviews

140

(1)

Providing Immediate Feedback with Unit Tests and Code Coverage

141

(4)

Test First or Code First?

142

(1)

Code Coverage

143

(2)

Making Unit Tests Better

145

(7)

Using Data

146

(1)

Configurations

146

(1)

Component Integration Tests

147

(1)

Build Verification Tests

148

(1)

Turning Performance

149

(3)

Preventing Version Skew

152

(8)

Checking In

153

(2)

Shelving

155

(1)

Branching

156

(1)

What to Version

156

(1)

Automating the Build

156

(4)

Making Work Transparent

160

(2)

Summary

162

(1)

Endnotes

163

(2)

Testing

165

(40)

A Value-Up View of Testing

166

(3)

What Makes a Good Tester?

167

(2)

Basic Questions

169

(1)

Are We Delivering the Customer Value?

169

(8)

Automated Scenario Tests

172

(4)

Insulating Your Tests from UI Changes

176

(1)

Are the Qualities of Service Fit for Use?

177

(6)

Load Testing

177

(5)

Security Testing

182

(1)

Usability Testing

183

(1)

Have We Tested the Changes?

183

(1)

What Haven't We Tested?

184

(5)

Requirements

184

(2)

Code

186

(1)

Risks

187

(2)

Does It Work in Production as Well as in the Lab?

189

(3)

Are We Testing Enough?

192

(4)

Defining ``Good Enough''

192

(2)

Exploratory Testing

194

(1)

Testing as Discovery

194

(1)

False Confidence

195

(1)

When Should We Test?

196

(5)

Check-In Cycle

196

(1)

Daily Build Cycle

196

(2)

Accepted Build Cycle

198

(1)

Iteration Cycle

199

(1)

Project Cycle

200

(1)

Which Tests Should Be Automated?

201

(1)

How Efficient Is Our Team, Or Our Outsourced Team?

201

(1)

Summary

202

(1)

Endnotes

203

(2)

Reporting Bugs

205

(16)

A Cautionary Tale

207

(1)

A (Software) Bug's Life

208

(10)

Bug Reporting Is Like Journalism

210

(3)

Subjective Data

213

(1)

Objective Data

214

(2)

Assessment Data

216

(2)

Plan

218

(1)

Summary

218

(1)

Endnotes

219

(2)

Troubleshooting the Project

221

(22)

Underestimating

223

(6)

Uneven Task Decomposition

224

(1)

Architectural Blind Spots

224

(3)

Scope Creep

227

(2)

Inadequate Bug Allotment

229

(1)

Resource Leaks

229

(1)

Development Practices Too Loose

229

(4)

Build Failures

229

(2)

Inadequate Unit Testing

231

(1)

Reactivations

232

(1)

Bluffing

233

(1)

Tests Passing; Solution Doesn't Work

233

(3)

High Bug Find Rate

233

(3)

Tests Are Stale

236

(1)

Solution Stuck in Testing

236

(4)

Tests Failing

237

(1)

Too Little Testing

238

(2)

Summary

240

(1)

Endnotes

241

(2)

Conclusion

243

(6)

Expected Criticisms

244

(1)

Value-Up, Again

245

(2)

Endnotes

247

(2)

Index

249

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Software Engineering With Microsoft Visual Studio Team System

Summary

Author Biography

Table of Contents

Supplemental Materials