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Sinopsis
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
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Making Software: What Really Works, and Why We Believe It
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