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.
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Acknowledgements
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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Alajrami, S., Gallina, B., Romanovsky, A. (2018). Enabling GSD Task Allocation via Cloud-Based Software Processes. In: Lee, R. (eds) Software Engineering Research, Management and Applications. SERA 2017. Studies in Computational Intelligence, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-61388-8_11
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DOI: https://doi.org/10.1007/978-3-319-61388-8_11
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