Understanding collaboration in Global Software Engineering (GSE) teams with the use of sensors: introducing a multi-sensor setting for observing social and human aspects in project management
Dafoulas, George 
ORCID: https://orcid.org/0000-0003-2638-8771, Cardoso Maia, Cristiano ORCID: https://orcid.org/0000-0001-5487-2478, Ali, Almaas, Augusto, Juan Carlos ORCID: https://orcid.org/0000-0002-0321-9150 and Lopez, Victor
(2017)
Understanding collaboration in Global Software Engineering (GSE) teams with the use of sensors: introducing a multi-sensor setting for observing social and human aspects in project management.
2017 International Conference on Intelligent Environments (IE), Seoul, 2017.
In: IE 2017 - 13th International Conference on Intelligent Environments (IE’17), 21-25 Aug 2017, Seoul, Korea (South).
ISBN 9781538619209.
ISSN 2472-7571
[Conference or Workshop Item]
(doi:10.1109/IE.2017.40)
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Abstract
This paper discusses on-going research in the ways Global Software Engineering (GSE) teams collaborate for a range of software development tasks. The paper focuses on providing the means for observing and understanding GSE team member collaboration including team coordination and member communication. Initially the paper provides the background on social and human issues relating to GSE collaboration. Next the paper describes a pilot study involving a simulation of virtual GSE teams working together with the use of asynchronous and synchronous communication over a virtual learning environment. The study considered the use of multiple data collection techniques recordings of SCRUM meetings, design and implementation tasks. Next, the paper discusses the use of a multi-sensor for observing human and social aspects of project management in GSE teams. The scope of the study is to provide the means for gathering data regarding GSE team coordination for project managers including member emotions, participation pattern in team discussions and potentially stress levels.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Research Areas: | A. > School of Science and Technology > Computer Science > Intelligent Environments group |
| Item ID: | 22085 |
| Notes on copyright: | © 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 collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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| Depositing User: | George Dafoulas |
| Date Deposited: | 19 Jun 2017 14:47 |
| Last Modified: | 29 Nov 2022 20:25 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/22085 |
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