Global software teams: collaborating across borders and time zones
Global software teams: collaborating across borders and time zones
Splitting the organization and integrating the code: Conway's law revisited
Proceedings of the 21st international conference on Software engineering
CMM in practice: processes for executing software projects at Infosys
CMM in practice: processes for executing software projects at Infosys
Static scheduling algorithms for allocating directed task graphs to multiprocessors
ACM Computing Surveys (CSUR)
An empirical study of global software development: distance and speed
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Software project management in practice
Software project management in practice
Guest Editors' Introduction: Global Software Development
IEEE Software
Globalization by Chunking: A Quantitative Approach
IEEE Software
Surviving Global Software Development
IEEE Software
Timeboxing: a process model for iterative software development
Journal of Systems and Software
Using global pairs for reducing software development time
Proceedings of the 4th India Software Engineering Conference
"Follow the Sun" Workflow in Global Software Development
Journal of Management Information Systems
Software quality management improvement through mentoring: an exploratory study from GSD projects
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
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With the advent of globalization and the Internet, the concept of global software development is gaining ground. The global development model opens up the possibility of 24-h software development by effectively utilizing the time zone differences. To harness the potential of the 24-h software development model for reducing the overall development time, a key issue is the allocation of project tasks to the resources in the distributed team. In this paper, we examine this issue of task allocation in order to minimize the completion time of a project. We discuss a model for distributed team across time zones and propose a task allocation algorithm for the same. We apply the approach on tasks of a few synthetic projects and two real projects and show that there is a potential to reduce the project duration as well as improve the resource utilization through 24-h development.