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Author: Dafoulas, GeorgePublisher: Ieee Computer Soc

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    Exploring Collaboration Patterns Among Global Software Development Teams
    (Ieee Computer Soc, 2009) Serce, Fatma Cemile; Alpaslan, Ferda-Nur; Swigger, Kathleen; Brazile, Robert; Dafoulas, George; Lopez, Victor; Schumacker, Randy
    This study examines communication behaviors in global software student teams. The authors of the paper characterize the types of communication behaviors that occur when student teams are engaged in a software development project. The authors present findings from a one-semester study that examined factors contributing to successful distributed programming interactions among students enrolled at the University of Atilim (Turkey), Universidad Tecnologica de Panama, University of North Texas, and Middlesex University (UK). Using content and cluster analyses techniques, we identified distinct patterns of collaboration and examined how these patterns were associated with task, culture, GPA, and performance of collaborative teams. Our results suggest that communication patterns among global software learners may be related to task type, culture and GPA. It is hoped that these findings will lead to the development of new strategies for improving communication among global software teams.
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    A Comparison of Team Performance Measures for Global Software Development Student Teams
    (Ieee Computer Soc, 2009) Swigger, Kathleen; Serce, Fatma Cemile; Alpaslan, Ferda Nur; Brazile, Robert; Dafoulas, George; Lopez, Victor
    One of the most difficult tasks for global software development researchers is quantifying the performance of groups and students who participate in these distributed projects [30]. There has been much debate about which factors better correlate with team performance and which best describe a successful team. The purpose of this paper is to compare the different approaches that have been used to evaluate the performance of global software learners and show how these techniques can affect research results. Using data from student groups engaged in global software development projects for the past year, the authors apply a number of different assessment methods and show their effects on different performance indicators. Our study suggests that the selection of appropriate measures to evaluate team performance can dramatically affect how one identifies successful teams.