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Issue No.02 - March/April (2010 vol.27)
pp: 12-15
Rafael Prikladnicki , Pontifícia Universidade do Rio Grande do Sul
Jorge Luis Nicolas Audy , Pontifícia Universidade do Rio Grande do Sul
Forrest Shull , Fraunhofer Center for Experimental Software Engineering, Maryland
A systematic review of the published literature on distributed software development (DSD) resulted in the selection of 30 studies of acceptable rigor for detailed review. This summary of the detailed review results identifies factors and perspectives that an actionable DSD process model might include. It also discusses the implications for future research. A Web Extra, "Selection and Analysis Methods for Distributed Software Development Studies," contains details about the 30 selected studies.
software development, offshoring
Rafael Prikladnicki, Jorge Luis Nicolas Audy, Forrest Shull, "Patterns in Effective Distributed Software Development", IEEE Software, vol.27, no. 2, pp. 12-15, March/April 2010, doi:10.1109/MS.2010.48
1. E. Carmel and P. Tjia, Offshoring Information Technology: Sourcing and Outsourcing to a Global Workforce, Cambridge Univ. Press, 2005.
2. E. Carmel, Global Software Teams—Collaborating Across Borders and Time-Zones, Prentice Hall, 1999.
3. D. Karolak, Global Software Development—Managing Virtual Teams and Environments, IEEE CS Press, 1998.
4. R. Sangwan et al., Global Software Development Handbook, Auerbach Publications, 2007.
5. J.D. Herbsleb, "Global Software Engineering: The Future of Socio-technical Coordination," Proc. 29th Int'l Conf. Software Engineering (ICSE 07), IEEE CS Press, 2007, pp. 188–198.
6. B. Meyer, "The Unspoken Revolution in Software Engineering," Computer, vol. 39, no. 1, 2006, pp. 124, 121–123.
7. R. Prikladnicki, D. Damian, and J.L.N. Audy, "Patterns of Evolution in the Practice of Distributed Software Development: Quantitative Results from a Systematic Review," Proc. Evaluation and Assessment in Software Eng. (EASE 08), BCS, 2008, pp. 1–10.
8. D. Smite, "Empirical Evidence in Global Software Engineering: A Systematic Review," Empirical Software Eng. J., 2009, pp. 91–118.
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