Using data analytics for collaboration patterns in distributed software team simulations: the role of dashboards in visualizing global software development patterns
Dafoulas, George 
ORCID: https://orcid.org/0000-0003-2638-8771, Serce, Fatma Cemile, Swigger, Kathleen, Brazile, Robert, Alpaslan, Ferda Nur, Lopez, Victor and Milewski, Allen
(2016)
Using data analytics for collaboration patterns in distributed software team simulations: the role of dashboards in visualizing global software development patterns.
2016 IEEE 11th International Conference on Global Software Engineering Workshops (ICGSEW).
In: 2016 IEEE 11th International Conference on Global Software Engineering Workshops (ICGSEW), 02 Aug 2016, Irvine, CA, USA.
ISBN 9781509036257.
ISSN 2329-6313
[Conference or Workshop Item]
(doi:10.1109/ICGSEW.2016.15)
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Abstract
This paper discusses how previous work on global software development learning teams is extended with the introduction of data analytics. The work is based on several years of studying student teams working in distributed software team simulations. The scope of this paper is twofold. First it demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams. Second it describes the development of a dashboard to be used for the visualization of various types of information in relation to Global Software Development (GSD). Due to the nature of this work, and the need for continuous pilot studies, simulations of distributed software teams have been created with the participation of learners from a number of institutions. This paper discusses two pilot studies with the participation of six institutions from two different countries.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
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| Research Areas: | A. > School of Science and Technology > Computer Science |
| Item ID: | 22074 |
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| Depositing User: | George Dafoulas |
| Date Deposited: | 19 Jun 2017 13:51 |
| Last Modified: | 29 Nov 2022 21:41 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/22074 |
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