Making Software : What Really Works, and Why We Believe It

Andy Oram

ISBN 10: 0596808321 / ISBN 13: 9780596808327

Verlag: O'reilly Media Nov 2010, 2010

Beschreibung

Neuware - 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 ArandaTom BallVictor R. BasiliAndrew BegelChristian BirdBarry BoehmMarcelo CataldoSteven ClarkeJason CohenRobert DeLineMadeline DiepHakan ErdogmusMichael GodfreyMark GuzdialJo E. HannayAhmed E. HassanIsrael HerraizKim Sebastian HerzigCory KapserBarbara KitchenhamAndrew KoLucas LaymanSteve McConnellTim MenziesGail MurphyNachi NagappanThomas J. OstrandDewayne PerryMarian PetreLutz PrecheltRahul PremrajForrest ShullBeth SimonDiomidis SpinellisNeil ThomasWalter TichyBurak TurhanElaine J. WeyukerMichele A. WhitecraftLaurie WilliamsWendy M. WilliamsAndreas ZellerThomas Zimmermann.

Bestandsnummer des Verkäufers 9780596808327

Bibliografische Details

• Titel: Making Software : What Really Works, and Why We Believe It
• Verlag: O'reilly Media Nov 2010
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 0596808321
• ISBN-13: 9780596808327
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 255B x 238 H x 35 T Millimeter Breite: 255 mm, Höhe: 238 mm, Tiefe: 35 mm
• Gewicht: 981 Gramm

Über diesen Titel

Inhaltsangabe

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

Über die Autorin bzw. den 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.