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
Making Software: What Really Works, and Why We Believe It
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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 holds a Ph.D. in Computer Science from the University of Edinburgh, and has worked on high-performance scientific computing, data visualization, and computer security. He is the author of Data Crunching and Practical Parallel Programming (MIT Press, 1995), a contributing editor at Doctor Dobb's Journal, and an adjunct professor in Computer Science at the University of Toronto.
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Von Jens Schauder
Format:Kindle Edition|Von Amazon bestätigter 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.
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.
Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com:
3.9 von 5 Sternen
9 Rezensionen
38 von 39 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen
A very important book
22. November 2010
Von Michael C. Feathers
- Veröffentlicht auf Amazon.com
Format:Taschenbuch|Von Amazon bestätigter 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.
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.
17 von 18 Kunden fanden die folgende Rezension hilfreich
4.0 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.
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.
4.0 von 5 Sternen
A good book
14. Juni 2013
Von Anderson Santana
- Veröffentlicht auf Amazon.com
Format:Taschenbuch|Von Amazon bestätigter Kauf
It's a excellent book for all professionals in software engineering.
Making Software presents to each chapter a good experience for software industry and professionals in this area.
It's great.
I recomend it for academics and professionals.
Making Software presents to each chapter a good experience for software industry and professionals in this area.
It's great.
I recomend it for academics and professionals.
›
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