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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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Abstract

© Springer International Publishing AG 2018. 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: Book Chapter

Publication status: Published

Book Title: Software Engineering Research, Management and Applications

Year: 2018

Volume: 722

Pages: 179-192

Print publication date: 26/06/2017

Online publication date: 09/06/2017

Acceptance date: 02/04/2016

Series Title: Studies in Computational Intelligence

Publisher: Springer Verlag

Place Published: Cham

URL: https://doi.org/10.1007/978-3-319-61388-8_11

DOI: 10.1007/978-3-319-61388-8_11

Library holdings: Search Newcastle University Library for this item

ISBN: 9783319613871


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