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Using data analytics for collaboration patterns in distributed software team simulations

Dafoulas, Georgios A.
Serce, Fatma C.
SWİGGER, Kathleen
Alpaslan, Ferda Nur
Alpaslan, Ferda Nur
Milewski, Allen
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.