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Making Software: What Really Works, and Why We Believe It, by Andy Oram, Greg Wilson
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Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you.
- Are some programmers really ten times more productive than others?
- Does writing tests first help you develop better code faster?
- Can code metrics predict the number of bugs in a piece of software?
- Do design patterns actually make better software?
- What effect does personality have on pair programming?
- What matters more: how far apart people are geographically, or how far apart they are in the org chart?
Contributors include:
Jorge Aranda
Tom Ball
Victor R. Basili
Andrew Begel
Christian Bird
Barry Boehm
Marcelo Cataldo
Steven Clarke
Jason Cohen
Robert DeLine
Madeline Diep
Hakan Erdogmus
Michael Godfrey
Mark Guzdial
Jo E. Hannay
Ahmed E. Hassan
Israel Herraiz
Kim Sebastian Herzig
Cory Kapser
Barbara Kitchenham
Andrew Ko
Lucas Layman
Steve McConnell
Tim Menzies
Gail Murphy
Nachi Nagappan
Thomas J. Ostrand
Dewayne Perry
Marian Petre
Lutz Prechelt
Rahul Premraj
Forrest Shull
Beth Simon
Diomidis Spinellis
Neil Thomas
Walter Tichy
Burak Turhan
Elaine J. Weyuker
Michele A. Whitecraft
Laurie Williams
Wendy M. Williams
Andreas Zeller
Thomas Zimmermann
- Sales Rank: #999087 in Books
- Brand: Brand: O'Reilly Media
- Published on: 2010-10-30
- Original language: English
- Number of items: 1
- Dimensions: 9.19" h x 1.30" w x 7.00" l, 1.78 pounds
- Binding: Paperback
- 624 pages
- Used Book in Good Condition
About the Author
Andy Oram is an editor at O'Reilly Media, a highly respected book publisher and technology information provider. An employee of the company since 1992, Andy currently specializes in free software and open source technologies. His work for O'Reilly includes the first books ever published commercially in the United States on Linux, and the 2001 title Peer-to-Peer. His modest programming and system administration skills are mostly self-taught.
Greg Wilson has worked on high-performance scientific computing, data visualization, and computer security, and is currently project lead at Software Carpentry (http://software-carpentry.org). Greg has a Ph.D. in Computer Science from the University of Edinburgh, and has written and edited several technical and children's books, including "Beautiful Code" (O'Reilly, 2007).
Most helpful customer reviews
44 of 47 people found the following review helpful.
A very important book
By Michael C. Feathers
I'm going to go on record and say that this is one of the most important books about software development that has been published in the last few years. It's easy for many of us in the industry to complain that software engineering research is years behind practice and that it is hard to construct experiments or perform studies which produce information that is relevant for practitioners, but fact is, there are many things we can learn from published studies.
The editors of this book do a great job of explaining what we can and can not expect from research. They also adopt a very pragmatic mindset, taking the point of view that appropriate practice is highly contextual. Research can provide us with evidence, but not necessarily conclusions.
Beyond the philosophical underpinnings, 'Making Software' outlines research results in a variety of areas. It gives you plenty to think about when considering various approaches on your team. The chapter 'How Effective is Modularization?' is worth the price of the book alone.
I recommend this book for anyone who wants to learn how to think rigorously about practice.
31 of 32 people found the following review helpful.
Good, but not fantastic
By John Graham-Cumming
This is an important book and it covers a wide range of topics surrounding software engineering (comparing languages, whether TDD works, open source vs. proprietary, pair programming, metrics, learning to program, women in computer science and much, much more). But I can't give it a 5 star review because I wish it had been distilled down from a large collection of essays to a single book covering the conclusions and the data behind the conclusions.
It would be a 5 star if someone like Steve McConnell had taken the entire contents of the book and written a single coherent text from it. As it is the quality of writing and explanations varies a lot from article to article. For example, in some of the articles the authors decide to show us the code or the SQL statements used to extract data. I found this distracting (who cares how they pulled data from a database?) because I wanted to get to the meat of each piece. I suspect the book could be 1/2 to 2/3 the size it is today with a rewrite.
Despite my reservations this is a very worthwhile book. If you sit down to read it you'll likely find it hard going in places: it's dense and detailed. But that goes somewhat with the territory. This isn't a book about evangelizing the latest development fad, it's about hard data on what does and does not work in software engineering.
Refreshing, if a bit long.
10 of 12 people found the following review helpful.
Ask Felgall - Book Review
By Stephen Chapman
Thirty articles and thirty four different authors but you can't really tell that from reading the content as all of the material fits together extremely well.
The articles are divided up into two sections. The first covering general principles reads a lot like a fairly advanced university level textbook and it got really tempting for me to give up on the book a number of times while reading that section which would have been a real pity since the second section covering "Specific Topics in Software Engineering" is far easier to read and a lot more interesting as well.
There is plenty of material in the second section of the book that will help any programmer to improve the way that they write programs. A lot of the alternatives presented are beyond the control of the programmer though and so it is far more important that the managers in charge of programming departments be made aware of the information that this book provides.
While at least some of the information that the book presents should be obvious to any experienced programmer - some of the information may also be completely unexpected. The authors of the articles have done an excellent job though of specifying exactly how they obtained the data upon which their conclusions are based and so it should be reasonably easy to work out just how applicable each should be to any given situation.
I recommend that those without the background to fully understand the material in the first part of the book persevere with it as whatever part of it that you do manage to comprehend will aid in your understanding of what the extremely useful second part of the book actually means.
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