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Enabling GSD Task Allocation via Cloud-based Software Processes


Sami Alajrami , Barbara Gallina, Alexander Romanovsky

Publication Type:

Journal article


International Journal of Networked and Distributed Computing 5(4)-2017


Atlantis Press, Paris-Amsterdam


Allocating tasks to distributed sites in Global Software Development (GSD) projects is often done unsystematically and based on the personal experience of project managers. Wrong allocation decisions increase the project’s risks as tasks have dependencies that are inherited by the distributed sites. Decision support can help make the task allocation a more informed and systematic process. The challenges in allocating tasks to distributed sites exist because of three distance dimensions between sites (geographical, temporal and cultural). An informed task allocation decision needs to consider these distances. Therefore, in this paper, we propose to integrate and semi-automate the calculation of an existing Global Distance Metric (GDM) into an architecture that supports executing cloud-based software processes. We analyze the potential of integrating the GDM into this architecture and identify the needed extensions to the architecture.


author = {Sami Alajrami and Barbara Gallina and Alexander Romanovsky},
title = {Enabling GSD Task Allocation via Cloud-based Software Processes},
volume = {5},
number = {4},
pages = {221--232},
month = {October},
year = {2017},
journal = {International Journal of Networked and Distributed Computing 5(4)-2017},
publisher = {Atlantis Press, Paris-Amsterdam},
url = {}