1. What are the contributions in this paper?
Dafoulas et al. this paper used data analytics for collaboration patterns in distributed software team simulations: the role of dashboards in visualizing global software development patterns.
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Using Data Analytics for Collaboration Patterns in Distributed Software Team Simulations: The Role of Dashboards in Visualizing Global Software Development Patterns
Georgios Dafoulas,Fatma Cemile Serce,Kathleen Swigger,Robert Brazile,Ferda Nur Alpaslan,Victor Lopez,Allen E. Milewski +6 more
- 02 Aug 2016
- pp 43-48
TL;DR: This paper demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams and describes the development of a dashboard for the visualization of various types of information in relation to Global Software Development (GSD).
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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.
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Citations
An Empirical Investigation of Factors Causing Scope Creep in Agile Global Software Development Context: A Conceptual Model for Project Managers
TL;DR: In this paper, the authors proposed a conceptual model for scope creep to assist the agile practitioners to effectively handle the scope creep, which ultimately increases the project success and forecasts change control effect on a software project.
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TL;DR: This paper describes how a smart learning environment is created with the use of a range of sensors measuring key data from individual learners including heartbeat, emotion detection, sweat levels, voice fluctuations and duration and pattern of contribution via voice recognition.
Changes in emergent software development routines: The moderation effects of routine diversity
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TL;DR: It is shown that routine change reduces project popularity; however, this effect is mitigated as routine diversity increases, and routine diversity provides a coping mechanism for participants to adapt to changing routines.
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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
Georgios Dafoulas,Cristiano Cardoso Maia,Almaas Ali,Juan Carlos Augusto,Victor Lopez-Cabrera +4 more
- 23 Nov 2017
TL;DR: On-going research in the ways GSE teams collaborate for a range of software development tasks is discussed, including the use of a multi-sensor for observing human and social aspects of project management in G SE teams.
Collecting sensor-generated data for assessing teamwork and individual contributions in computing student teams
George Dafoulas,Cristiano Cardoso Maia,Almaas Ali,Juan Carlos Augusto +3 more
- 01 Jul 2018
TL;DR: A series of experiments that have been conducted in a dedicated smart-spaces laboratory, aiming to combine the use of several sensors in collecting student data have produced visualizations of patterns that can be used in education for assessing student contribution, emotions and stress levels.
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