Download PDF Software Development Metrics
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Software Development Metrics
Download PDF Software Development Metrics
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Product details
Paperback: 192 pages
Publisher: Manning Publications; 1 edition (August 6, 2015)
Language: English
ISBN-10: 1617291358
ISBN-13: 978-1617291357
Product Dimensions:
7.3 x 0.4 x 9.2 inches
Shipping Weight: 12.6 ounces (View shipping rates and policies)
Average Customer Review:
4.4 out of 5 stars
3 customer reviews
Amazon Best Sellers Rank:
#466,226 in Books (See Top 100 in Books)
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 MotivationalBoth books identify different metrics for different parts of the SDLC. SDM use three primary factors -Development approach Traditional AdaptiveProcess model Linear Iterative Time-boxed Continuous flowDelivery mode Discrete projects Ongoing or continuousAs 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.
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.
Easy to understand. Love it.
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