Enabling GSD Task Allocation via Cloud-based Software Processes

DOI

10.2991/ijndc.2017.5.4.4How to use a DOI?

Keywords

Global software development, Distributed tasks allocation decision support, Cloud-based software processes, Global distance

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Sami Alajrami
AU  - Barbara Gallina
AU  - Alexander Romanovsky
PY  - 2017
DA  - 2017/10/02
TI  - Enabling GSD Task Allocation via Cloud-based Software Processes
JO  - International Journal of Networked and Distributed Computing
SP  - 221
EP  - 232
VL  - 5
IS  - 4
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2017.5.4.4
DO  - 10.2991/ijndc.2017.5.4.4
ID  - Alajrami2017
ER  -