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Global Software Development Handbook (Auerbach Series on Applied Software Engineering Series)

Posted on 2010-04-15




Name:Global Software Development Handbook (Auerbach Series on Applied Software Engineering Series)
ASIN/ISBN:0849393841
Author:Daniel J. Paulish, Neel Mullick, Matthew Bass, Raghvinder Sangwan, Juergen Kazmeier
Publisher:Auerbach Publications (2006)
Pages:Hardcover, 288 pages
File size:1.2 Mb
   Global Software Development Handbook (Auerbach Series on Applied Software Engineering Series)

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Author: Daniel J. Paulish, Neel Mullick, Matthew Bass, Raghvinder Sangwan, Juergen Kazmeier


Publisher: Auerbach Publications (2006)


Binding: Hardcover, 288 pages


pricer: $79.95


ISBN-10: 0849393841


editorialreviews

Economics and technology have dramatically re-shaped the landscape of software development. It is no longer uncommon to find a software development team dispersed across countries or continents. Geographically distributed development challenges the ability to clearly communicate, enforce standards, ensure quality levels, and coordinate tasks. Global Software Development Handbook explores techniques that can bridge distances, create cohesion, promote quality, and strengthen lines of communication. The book introduces techniques proven successful at international electronics and software giant Siemens AG. It shows how this multinational uses a high-level process framework that balances agility and discipline for globally distributed software development. The authors delineate an organizational structure that not only fosters team building, but also achieves effective collaboration among the central and satellite teams. The handbook explores the issues surrounding quality and the processes required to realize quality in a distributed environment. Communication is a tremendous challenge, especially for teams separated by several time zones, and the authors elucidate how to uncover patterns of communication among these teams to determine effective strategies for managing communication. The authors analyze successful and failed projects and apply this information to how a project can be successful with distributed teams. They also provide lightweight processes that can be dynamically adapted to the demands of any project.




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