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Enabling GSD task allocation via cloud-based software processes

Lookup NU author(s): Sami Alajrami, Professor Alexander Romanovsky

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

Copyright © 2017, the Authors. Published by Atlantis Press. 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.


Publication metadata

Author(s): Alajrami S, Gallina B, Romanovsky A

Publication type: Article

Publication status: Published

Journal: International Journal of Networked and Distributed Computing

Year: 2017

Volume: 5

Issue: 4

Pages: 221-232

Online publication date: 30/10/2017

Acceptance date: 02/04/2016

Date deposited: 17/01/2018

ISSN (print): 2211-7938

ISSN (electronic): 2211-7946

Publisher: Atlantis Press

URL: https://doi.org/10.2991/ijndc.2017.5.4.4

DOI: 10.2991/ijndc.2017.5.4.4


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