Enabling GSD Task Allocation via Cloud-Based Software Processes

  • Sami AlajramiEmail author
  • Barbara Gallina
  • Alexander Romanovsky
Part of the Studies in Computational Intelligence book series (SCI, volume 722)


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.


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



B. Gallina is partially financially supported by EU and VINNOVA via the ECSEL Joint Undertaking under grant agreement No 692474, project name AMASS.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Sami Alajrami
    • 1
    Email author
  • Barbara Gallina
    • 2
  • Alexander Romanovsky
    • 1
  1. 1.Newcastle UniversityNewcastle upon TyneUK
  2. 2.Mälaradalen UniveristyVästeråsSweden

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