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Summary
Software Development Metrics is a handbook for anyone who needs to track and guide software development and delivery at the team level, such as project managers and team leads. New development practices, including "agile" methodologies like Scrum, have redefined which measurements are most meaningful and under what conditions you can benefit from them. This practical book identifies key characteristics of organizational structure, process models, and development methods so that you can select the appropriate metrics for your team. It describes the uses, mechanics, and common abuses of a number of metrics that are useful for steering and for monitoring process improvement. The insights and techniques in this book are based entirely on field experience.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Book
When driving a car, you are less likely to speed, run out of gas, or suffer engine failure because of the measurements the car reports to you about its condition. Development teams, too, are less likely to fail if they are measuring the parameters that matter to the success of their projects. This book shows you how.
Software Development Metrics teaches you how to gather, analyze, and effectively use the metrics that define your organizational structure, process models, and development methods. The insights and examples in this book are based entirely on field experience. You'll learn practical techniques like building tools to track key metrics and developing data-based early warning systems. Along the way, you'll learn which metrics align with different development practices, including traditional and adaptive methods.
No formal experience with developing or applying metrics is assumed.
What's Inside
- Identify the most valuable metrics for your team and process
- Differentiate "improvement" from "change"
- Learn to interpret and apply the data you gather
- Common pitfalls and anti-patterns
About the Author
Dave Nicolette is an organizational transformation consultant, team coach, and trainer. Dave is active in the agile and lean software communities.
Table of Contents
Making metrics usefulMetrics for steeringMetrics for improvementPutting the metrics to workPlanning predictabilityReporting outward and upward - Sales Rank: #355345 in Books
- Published on: 2015-08-06
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x .40" w x 7.30" l, .0 pounds
- Binding: Paperback
- 192 pages
About the Author
Dave Nicolette is an agile and lean organizational transformation consultant, team coach, and trainer and is heavily involved in the agile and lean software communities. He frequently presents at conferences and user groups.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Great Coverage
By T Anderson
This is a review of both Agile Metrics in Action and Software Development Metrics. Both book are from Manning and both were put out about a month or so apart. I am reviewing both, because both are good, but they are different approaches to getting you to the same place.
First things first, both cover agile metrics. When I first saw the titles I thought that may be the differentiating factor, but that is not the case. The biggest difference in the books is the inclusion of tools to use in Agile Metrics in Action (AMA from here on), and Software Development Metrics (SDM from here on) does not.
AMA says metrics have three functions, or effects:
Informational
Diagnostic
Motivational
Both books identify different metrics for different parts of the SDLC. SDM use three primary factors -
Development approach
Traditional
Adaptive
Process model
Linear
Iterative
Time-boxed
Continuous flow
Delivery mode
Discrete projects
Ongoing or continuous
As you can see by how the SDM book breaks metrics down the author covers more that just the traditional time-boxed agile model. Did I just say 'traditional' time-box agile model. I am afraid so. It seems to be the de facto default these days. I watch 4-5 stand ups a day now. Too bad that is the only thing about those projects that is agile. Anyway, no soapboxing...
SDM presents the metrics in a pattern like format. Each metric also includes anti-patterns of the metric, showing common mistakes with the metrics.
AMA focuses on groups of systems used to deliver software and targets them for metrics- project tracking, source control, continuous integration, deployment tools, and application monitoring. The author also uses software packages throughout the book for each area - JIRA project tracking, GitHub for source control, Jenkins for continuous integration and deployment tools, and New Relic and Elasticsearch/Logstash/Kibana (ELK) for application monitoring.
In AMA the goal is to provide feedback loop of information to help you improve your process as you go. The feedback loop is Collect, Measure, React, and Repeat.
Both books decide which metrics to use and data to go after by asking questions throughout the SDLC about your goals and how successful you are at meeting them.
Both books also cover metrics for measuring your software and code's quality. SDM only provides Static code-analysis metrics as on the metrics in the book. SDM probably should have been named "Software Development Lifecycle Metrics" not "Software Development Metrics". The single metric about code quality was not thorough enough. The metrics in SDM are all about the lifecycle. That is not a bad thing, I just want to point that out.
AMA measures the quality of your software using quality attributes (non-functional requirements or "ilities"). This was actually my favorite chapter in AMA. I thought the author did an awesome job of breaking quality attributes down into different metrics to make them measurable.
The only thing about AMA is that I won't use most of the tools mentioned it. I use TFS, Git, Team Foundation Build, Jenkins, Instruments, Xcode, Android Studio, Visual Studio Online, Visual Studio and TFS testing tools. Not that it matters. I liked that the author used the different tools so you could see the metrics visually represented in the different tools.
Over all both books were good. If you want the bare-bones breakdown of the metric and how to use it and not use it, you can go with SDM. If you want to see more of a real world application of the metrics, I'd go with AMA.
0 of 0 people found the following review helpful.
It is easy to understand and the graphic material (diagrams
By Javier
This book covers the metrics on software development processes. It makes a relevant effort to explain each metric in detail. It is easy to understand and the graphic material (diagrams, charts, etc) is great.
Beyond of the expected stuff (definitions, context and so on) I would highlight the availability of one model to identify/support the proper metrics in every project. Together with the metrics catalog in the book located under two major sections (metrics for steering and metrics for improvement) I would also highlight the rest of content where the author put all metrics to work.
The author also introduces each metric with a short template where you can find all relevant information about the metric. It is very useful to know/identify the metric you are looking for quickly.
I would say the author does a great job explaining the real goals of one metric. He helps to identify patterns and anti-patterns while covering use cases closed to the real world.
In summary, I found an updated and fresh reference to metrics in this book. It is a great book on this topic.
0 of 1 people found the following review helpful.
One of the best book I've read so far.
By Nicolas
Easy to understand. Love it.
See all 3 customer reviews...
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