Using data analytics for collaboration patterns in distributed software team simulations

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Date

2016

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Volume Title

Publisher

Ieee

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Organizational Unit
Information Systems Engineering
Information Systems is an academic and professional discipline which follows data collection, utilization, storage, distribution, processing and management processes and modern technologies used in this field. Our department implements a pioneering and innovative education program that aims to raise the manpower, able to meet the changing and developing needs and expectations of our country and the world. Our courses on current information technologies especially stand out.

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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.

Description

Alpaslan, Ferda Nur/0000-0002-9806-1543

Keywords

collaboration, dashboards, data analytics, distributed teams, global software development

Turkish CoHE Thesis Center URL

Citation

5

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Source

11th IEEE International Conference on Global Software Engineering (ICGSE) -- AUG 02-05, 2016 -- Univ California, Irvine, CA

Volume

Issue

Start Page

43

End Page

48

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