Using data analytics for collaboration patterns in distributed software team simulations: the role of dashboards in visualizing global software development patterns

Dafoulas, George, 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. In: 2016 IEEE 11th International Conference on Global Software Engineering Workshops (ICGSEW), 02 Aug 2016, Irvine, CA, USA.

[img]
Preview
PDF - Final accepted version (with author's formatting)
Download (474kB) | Preview

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 collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 22074
Useful Links:
Depositing User: George Dafoulas
Date Deposited: 19 Jun 2017 13:51
Last Modified: 04 Apr 2019 05:54
URI: https://eprints.mdx.ac.uk/id/eprint/22074

Actions (login required)

Edit Item Edit Item

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year