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Enabling GSD Task Allocation via Cloud-based Software Processes
Newcastle University, UK.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-6952-1053
Newcastle University, UK.
2017 (Engelska)Ingår i: International Journal of Networked and Distributed Computing, ISSN 2211-7938, Vol. 5, nr 4, s. 221-232Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
2017. Vol. 5, nr 4, s. 221-232
Nyckelord [en]
Global software development, Distributed tasks allocation decision support, Cloud-basedsoftware processes, Global distance
Nationell ämneskategori
Datorsystem
Identifikatorer
URN: urn:nbn:se:mdh:diva-37333DOI: 10.2991/ijndc.2017.5.4.4ISI: 000419744900004Scopus ID: 2-s2.0-85037627327OAI: oai:DiVA.org:mdh-37333DiVA, id: diva2:1160988
Projekt
AMASS - Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical SystemsTillgänglig från: 2017-11-28 Skapad: 2017-11-28 Senast uppdaterad: 2018-02-08Bibliografiskt granskad

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