Modern Software Engineering : Doing What Works to Build Better Software Faster

Name: Modern Software Engineering : Doing What Works to Build Better Software Faster
Author: David Farley
ISBN: 9780137314911

by David Farley

4.0 (1)

Paperback

Modern Software Engineering : Doing What Works to Build Better Software Faster

by David Farley

4.0 (1)

Paperback

Overview

Improve Your Creativity, Effectiveness, and Ultimately, Your Code In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues. Writing for programmers, managers, and technical leads at all levels of experience, Farley illuminates durable principles at the heart of effective software development. He distills the discipline into two core exercises: learning and exploration and managing complexity. For each, he defines principles that can help you improve everything from your mindset to the quality of your code, and describes approaches proven to promote success. Farley's ideas and techniques cohere into a unified, scientific, and foundational approach to solving practical software development problems within realistic economic constraints. This general, durable, and pervasive approach to software engineering can help you solve problems you haven't encountered yet, using today's technologies and tomorrow's. It offers you deeper insight into what you do every day, helping you create better software, faster, with more pleasure and personal fulfillment. Clarify what you're trying to accomplish Choose your tools based on sensible criteria Organize work and systems to facilitate continuing incremental progress Evaluate your progress toward thriving systems, not just more "legacy code" Gain more value from experimentation and empiricism Stay in control as systems grow more complex Achieve rigor without too much rigidity Learn from history and experience Distinguish "good" new software development ideas from "bad" ones Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

FormatPaperback

LanguageEnglish

PublisherAddison Wesley Professional

Publication DateDec. 10th, 2021

ISBN-139780137314911

Dimensions7.38 x 9.13 x 0.52 inches

ISBN-100137314914

Shipping Weight0.77 lbs

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Reader Reviews for Modern Software Engineering : Doing What Works to Build Better Software Faster

Foreword	p. xvii
Preface	p. xxi
Acknowledgments	p. xxv
About the Author	p. xxvii
What Is Software Engineering?	p. 1
Introduction	p. 3
Engineering-The Practical Application of Science	p. 3
What Is Software Engineering?	p. 4
Reclaiming "Software Engineering"	p. 5
How to Make Progress	p. 6
The Birth of Software Engineering	p. 7
Shifting the Paradigm	p. 8
Summary	p. 9
What Is Engineering?	p. 11
Production Is Not Our Problem	p. 11
Design Engineering, Not Production Engineering	p. 12
A Working Definition of Engineering	p. 17
Engineering != Code	p. 17
Why Does Engineering Matter?	p. 19
The Limits of "Craft"	p. 19
Precision and Scalability	p. 20
Managing Complexity	p. 21
Repeatability and Accuracy of Measurement	p. 22
Engineering, Creativity, and Craft	p. 24
Why What We Do Is Not Software Engineering	p. 25
Trade-Offs	p. 26
The Illusion of Progress	p. 26
The Journey from Craft to Engineering	p. 27
Craft Is Not Enough	p. 28
Time for a Rethink?	p. 28
Summary	p. 30
Fundamentals of an Engineering Approach	p. 31
An Industry of Change?	p. 31
The Importance of Measurement	p. 32
Applying Stability and Throughput	p. 34
The Foundations of a Software Engineering Discipline	p. 36
Experts at Learning	p. 36
Experts at Managing Complexity	p. 37
Summary	p. 38
Optimize for Learning	p. 41
Working Iteratively	p. 43
Practical Advantages of Working Iteratively	p. 45
Iteration as a Defensive Design Strategy	p. 46
The Lure of the Plan	p. 48
Practicalities of Working Iteratively	p. 54
Summary	p. 55
Feedback	p. 57
A Practical Example of the Importance of Feedback	p. 58
Feedback in Coding	p. 60
Feedback in Integration	p. 61
Feedback in Design	p. 63
Feedback in Architecture	p. 65
Prefer Early Feedback	p. 67
Feedback in Product Design	p. 68
Feedback in Organization and Culture	p. 68
Summary	p. 70
Incrementalism	p. 71
Importance of Modularity	p. 72
Organizational Incrementalism	p. 73
Tools of Incrementalism	p. 74
Limiting the Impact of Change	p. 76
Incremental Design	p. 77
Summary	p. 79
Empiricism	p. 81
Grounded in Reality	p. 82
Separating Empirical from Experimental	p. 82
"I Know That Bug!"	p. 82
Avoiding Self-Deception	p. 84
Inventing a Reality to Suit Our Argument	p. 85
Guided by Reality	p. 88
Summary	p. 89
Being Experimental	p. 91
What Does "Being Experimental" Mean?	p. 92
Feedback	p. 93
Hypothesis	p. 94
Measurement	p. 95
Controlling the Variables	p. 96
Automated Testing as Experiments	p. 97
Putting the Experimental Results of Testing into Context	p. 98
Scope of an Experiment	p. 100
Summary	p. 100
Optimize for Managing Complexity	p. 103
Modularity	p. 105
Hallmarks of Modularity	p. 106
Undervaluing the Importance of Good Design	p. 107
The Importance of Testability	p. 108
Designing for Testability Improves Modularity	p. 109
Services and Modularity	p. 115
Deployability and Modularity	p. 116
Modularity at Different Scales	p. 118
Modularity in Human Systems	p. 118
Summary	p. 120
Cohesion	p. 121
Modularity and Cohesion: Fundamentals of Design	p. 121
A Basic Reduction in Cohesion	p. 122
Context Matters	p. 125
High-Performance Software	p. 128
Link to Coupling	p. 129
Driving High Cohesion with TDD	p. 129
How to Achieve Cohesive Software	p. 130
Costs of Poor Cohesion	p. 132
Cohesion in Human Systems	p. 133
Summary	p. 133
Separation of Concerns	p. 135
Dependency Injection	p. 139
Separating Essential and Accidental Complexity	p. 139
Importance of DDD	p. 142
Testability	p. 144
Ports & Adapters	p. 145
When to Adopt Ports & Adapters	p. 147
What Is an API?	p. 148
Using TDD to Drive Separation of Concerns	p. 149
Summary	p. 150
Information Hiding and Abstraction	p. 151
Abstraction or Information Hiding	p. 151
What Causes "Big Balls of Mud"?	p. 152
Organizational and Cultural Problems	p. 152
Technical Problems and Problems of Design	p. 154
Fear of Over-Engineering	p. 157
Improving Abstraction Through Testing	p. 159
Power of Abstraction	p. 160
Leaky Abstractions	p. 162
Picking Appropriate Abstractions	p. 163
Abstractions from the Problem Domain	p. 165
Abstract Accidental Complexity	p. 166
Isolate Third-Party Systems and Code	p. 168
Always Prefer to Hide Information	p. 169
Summary	p. 170
Managing Coupling	p. 171
Cost of Coupling	p. 171
Scaling Up	p. 172
Microservices	p. 173
Decoupling May Mean More Code	p. 175
Loose Coupling Isn't the Only Kind That Matters	p. 176
Prefer Loose Coupling	p. 177
How Does This Differ from Separation of Concerns?	p. 178
DRY Is Too Simplistic	p. 179
Async as a Tool for Loose Coupling	p. 180
Designing for Loose Coupling	p. 182
Loose Coupling in Human Systems	p. 182
Summary	p. 184
Tools to Support Engineering in Software	p. 185
The Tools of an Engineering Discipline	p. 187
What Is Software Development?	p. 188
Testability as a Tool	p. 189
Measurement Points	p. 192
Problems with Achieving Testability	p. 193
How to Improve Testability	p. 196
Deployability	p. 197
Speed	p. 199
Controlling the Variables	p. 200
Continuous Delivery	p. 201
General Tools to Support Engineering	p. 202
Summary	p. 203
The Modem Software Engineer	p. 205
Engineering as a Human Process	p. 207
Digitally Disruptive Organizations	p. 207
Outcomes vs. Mechanisms	p. 210
Durable and Generally Applicable	p. 211
Foundations of an Engineering Discipline	p. 214
Summary	p. 215
Index	p. 217
Table of Contents provided by Ingram. All Rights Reserved.

Find at your local library from our friends at WorldCat	Find Libraries

Overview

Product Details

FormatPaperback

LanguageEnglish

PublisherAddison Wesley Professional

Publication DateDec. 10th, 2021

ISBN-139780137314911

Dimensions7.38 x 9.13 x 0.52 inches

ISBN-100137314914

Shipping Weight0.77 lbs

Reviews

Foreword	p. xvii
Preface	p. xxi
Acknowledgments	p. xxv
About the Author	p. xxvii
What Is Software Engineering?	p. 1
Introduction	p. 3
Engineering-The Practical Application of Science	p. 3
What Is Software Engineering?	p. 4
Reclaiming "Software Engineering"	p. 5
How to Make Progress	p. 6
The Birth of Software Engineering	p. 7
Shifting the Paradigm	p. 8
Summary	p. 9
What Is Engineering?	p. 11
Production Is Not Our Problem	p. 11
Design Engineering, Not Production Engineering	p. 12
A Working Definition of Engineering	p. 17
Engineering != Code	p. 17
Why Does Engineering Matter?	p. 19
The Limits of "Craft"	p. 19
Precision and Scalability	p. 20
Managing Complexity	p. 21
Repeatability and Accuracy of Measurement	p. 22
Engineering, Creativity, and Craft	p. 24
Why What We Do Is Not Software Engineering	p. 25
Trade-Offs	p. 26
The Illusion of Progress	p. 26
The Journey from Craft to Engineering	p. 27
Craft Is Not Enough	p. 28
Time for a Rethink?	p. 28
Summary	p. 30
Fundamentals of an Engineering Approach	p. 31
An Industry of Change?	p. 31
The Importance of Measurement	p. 32
Applying Stability and Throughput	p. 34
The Foundations of a Software Engineering Discipline	p. 36
Experts at Learning	p. 36
Experts at Managing Complexity	p. 37
Summary	p. 38
Optimize for Learning	p. 41
Working Iteratively	p. 43
Practical Advantages of Working Iteratively	p. 45
Iteration as a Defensive Design Strategy	p. 46
The Lure of the Plan	p. 48
Practicalities of Working Iteratively	p. 54
Summary	p. 55
Feedback	p. 57
A Practical Example of the Importance of Feedback	p. 58
Feedback in Coding	p. 60
Feedback in Integration	p. 61
Feedback in Design	p. 63
Feedback in Architecture	p. 65
Prefer Early Feedback	p. 67
Feedback in Product Design	p. 68
Feedback in Organization and Culture	p. 68
Summary	p. 70
Incrementalism	p. 71
Importance of Modularity	p. 72
Organizational Incrementalism	p. 73
Tools of Incrementalism	p. 74
Limiting the Impact of Change	p. 76
Incremental Design	p. 77
Summary	p. 79
Empiricism	p. 81
Grounded in Reality	p. 82
Separating Empirical from Experimental	p. 82
"I Know That Bug!"	p. 82
Avoiding Self-Deception	p. 84
Inventing a Reality to Suit Our Argument	p. 85
Guided by Reality	p. 88
Summary	p. 89
Being Experimental	p. 91
What Does "Being Experimental" Mean?	p. 92
Feedback	p. 93
Hypothesis	p. 94
Measurement	p. 95
Controlling the Variables	p. 96
Automated Testing as Experiments	p. 97
Putting the Experimental Results of Testing into Context	p. 98
Scope of an Experiment	p. 100
Summary	p. 100
Optimize for Managing Complexity	p. 103
Modularity	p. 105
Hallmarks of Modularity	p. 106
Undervaluing the Importance of Good Design	p. 107
The Importance of Testability	p. 108
Designing for Testability Improves Modularity	p. 109
Services and Modularity	p. 115
Deployability and Modularity	p. 116
Modularity at Different Scales	p. 118
Modularity in Human Systems	p. 118
Summary	p. 120
Cohesion	p. 121
Modularity and Cohesion: Fundamentals of Design	p. 121
A Basic Reduction in Cohesion	p. 122
Context Matters	p. 125
High-Performance Software	p. 128
Link to Coupling	p. 129
Driving High Cohesion with TDD	p. 129
How to Achieve Cohesive Software	p. 130
Costs of Poor Cohesion	p. 132
Cohesion in Human Systems	p. 133
Summary	p. 133
Separation of Concerns	p. 135
Dependency Injection	p. 139
Separating Essential and Accidental Complexity	p. 139
Importance of DDD	p. 142
Testability	p. 144
Ports & Adapters	p. 145
When to Adopt Ports & Adapters	p. 147
What Is an API?	p. 148
Using TDD to Drive Separation of Concerns	p. 149
Summary	p. 150
Information Hiding and Abstraction	p. 151
Abstraction or Information Hiding	p. 151
What Causes "Big Balls of Mud"?	p. 152
Organizational and Cultural Problems	p. 152
Technical Problems and Problems of Design	p. 154
Fear of Over-Engineering	p. 157
Improving Abstraction Through Testing	p. 159
Power of Abstraction	p. 160
Leaky Abstractions	p. 162
Picking Appropriate Abstractions	p. 163
Abstractions from the Problem Domain	p. 165
Abstract Accidental Complexity	p. 166
Isolate Third-Party Systems and Code	p. 168
Always Prefer to Hide Information	p. 169
Summary	p. 170
Managing Coupling	p. 171
Cost of Coupling	p. 171
Scaling Up	p. 172
Microservices	p. 173
Decoupling May Mean More Code	p. 175
Loose Coupling Isn't the Only Kind That Matters	p. 176
Prefer Loose Coupling	p. 177
How Does This Differ from Separation of Concerns?	p. 178
DRY Is Too Simplistic	p. 179
Async as a Tool for Loose Coupling	p. 180
Designing for Loose Coupling	p. 182
Loose Coupling in Human Systems	p. 182
Summary	p. 184
Tools to Support Engineering in Software	p. 185
The Tools of an Engineering Discipline	p. 187
What Is Software Development?	p. 188
Testability as a Tool	p. 189
Measurement Points	p. 192
Problems with Achieving Testability	p. 193
How to Improve Testability	p. 196
Deployability	p. 197
Speed	p. 199
Controlling the Variables	p. 200
Continuous Delivery	p. 201
General Tools to Support Engineering	p. 202
Summary	p. 203
The Modem Software Engineer	p. 205
Engineering as a Human Process	p. 207
Digitally Disruptive Organizations	p. 207
Outcomes vs. Mechanisms	p. 210
Durable and Generally Applicable	p. 211
Foundations of an Engineering Discipline	p. 214
Summary	p. 215
Index	p. 217
Table of Contents provided by Ingram. All Rights Reserved.

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Modern Software Engineering : Doing What Works to Build Better Software Faster

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Modern Software Engineering : Doing What Works to Build Better Software Faster

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Modern Software Engineering : Doing What Works to Build Better Software Faster

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Paperback

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Modern Software Engineering : Doing What Works to Build Better Software Faster

4.0 (1)

Paperback

See All Available Copies

See All Available Copies

Overview

Categories

All Available Copies Find out more about shipping times from these sellers.

Reader Reviews for Modern Software Engineering : Doing What Works to Build Better Software Faster

Table Of Contents

Overview

Overview

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Reviews

Table Of Contents

All Available Copies