Enabling GSD Task Allocation via Cloud-based Software Processes

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....

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Bibliographic Details
Main Authors: Sami Alajrami, Barbara Gallina, Alexander Romanovsky
Format: Article
Language:English
Published: Atlantis Press 2017-09-01
Series:International Journal of Networked and Distributed Computing (IJNDC)
Subjects:
Online Access:https://www.atlantis-press.com/article/25885020.pdf
Description
Summary: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.
ISSN:2211-7946