Making Software: What Really Works, and Why We Believe It
Oct 2010 · "O'Reilly Media, Inc."
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About this ebook
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
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...
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Ratings and reviews
5 reviews
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December 3, 2010
This is a set of scholarly research papers which is interesting for, not only the results, but also the methods and the places under study. There are two parts on general principles and specific topics by forty-five authors. The table of contents shows the titles and subjects for thirty chapters, each of which also has a list of references. Part of the book's implicit knowledge comes from how the authors answered their questions as well as how they present the evidence. The question becomes how to measure and improve these skills in other organizations and on a more continuous basis. The most common areas of interest are productivity metrics and measurement. These are shown for different software development process models and code bases. They also look at the limitations of education. There are some new concepts such as socio-technical congruence as a measure of coordination.
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