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Making Software: What Really Works, and Why We Believe It (Englisch) Taschenbuch – 18. November 2010

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Über den Autor und weitere Mitwirkende

Andy Oram is an editor at O'Reilly & Associates, specializing in books on Linux and programming. Most recently, he edited Peer-to-Peer: Harnessing the Power of Disruptive Technologies.


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Format: Kindle Edition Verifizierter Kauf
If you create Software there are a lot of things we are supposed to do: Write tests (first), work in pairs, use patterns and so on.

But do these things really work? Do they make us faster or the resulting software better? Very few people seem to care. Most people just tell you to do it this way or that way.

This book provides reliable answers. In each chapter a method, a common assumption gets challenged. Various studies get presented and the results discussed.

After reading this book you will have lots of information about what actually works and possibly even more important: Under what conditions these results apply.

I consider this a very valuable resource for directing your personal or organizational development efforts, no matter if you are a developer, a team lead or a manager of a software development team.

Each chapter is written by a different scientist, this has some important consequences:

1) From a scientific point of view the authors know what they are talking about.

2) Each chapter is written in a somewhat different style. In general the style is somewhat dry so it isn't exactly an easy reading. But it is far more digestible than the average scientific publication.

If you are interested in more details about a given topic each chapter ends in a long list of references for further research.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: HASH(0x8a9c3228) von 5 Sternen 11 Rezensionen
43 von 46 Kunden fanden die folgende Rezension hilfreich
HASH(0x8a352030) von 5 Sternen A very important book 22. November 2010
Von Michael C. Feathers - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
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 von 32 Kunden fanden die folgende Rezension hilfreich
HASH(0x8a6e9b34) von 5 Sternen Good, but not fantastic 21. März 2011
Von John Graham-Cumming - Veröffentlicht auf Amazon.com
Format: Taschenbuch
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 von 12 Kunden fanden die folgende Rezension hilfreich
HASH(0x8a383384) von 5 Sternen Ask Felgall - Book Review 23. Dezember 2011
Von Stephen Chapman - Veröffentlicht auf Amazon.com
Format: Taschenbuch
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.
HASH(0x8a9d12d0) von 5 Sternen Good book on improving your process 18. April 2014
Von D Philip Wasserman - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
This book is a collection of chapters on how to improve software development through empirically proven methods. In addition to good advice, the book teaches you how to conduct your own research, allowing you to customize to your own environment. It can be dry at times, but there is a wealth of material within the pages.
5 von 8 Kunden fanden die folgende Rezension hilfreich
HASH(0x8a356300) von 5 Sternen Great mix of real-world and academic advice 22. Februar 2011
Von David Crow - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This is a must read book for people making software. It provides empirical evidence, insight and discussion around myths in the software development community. The "10x programmer" chapter by Steve McConnell is one of the most insightful discussions about managing developers and expectations around productivity. It's a great look at the impact of leveling the playing field and the impact on development teams. It's a must read for any development manager or executive. That said it is a large, deep tome on software engineering. It's not a light read, but there are critical tidbits of information for helping to manage development teams. It's a mix of academic and real-world data and advice.
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