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The temporal communication behaviors of global software student teams
Date
2012-03-01
Author
SWİGGER, Kathleen
Hoyt, Matthew
Serce, Fatma Cemile
Alpaslan, Ferda Nur
Metadata
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This paper examines the global software development process by using content analysis techniques, as described in an earlier study (Serce et al., 2011), to determine time-variant patterns of communication behaviors among student teams engaged in a global software development project. Data gathered from two software development projects involving students in the US, Panama, and Turkey were used to determine how globally distributed team behavior is temporally patterned in complex ways. A formal, quantitative methodology for time variant analysis of the transcripts of global software student teams based on content analysis is established. Results from the analysis suggest a positive correlation between a team's temporal communication patterns and project outcomes as well as a relationship between variations in communication behaviors and different phases of the software development cycle. The research also found that the temporal variations in communication behaviors between software phases were similar for the two projects. Such findings are intended to strengthen the case for developing new temporal measures for analyzing groups and teams.
Subject Keywords
Distributed learning
,
Collaborative behavior
,
Temporal factors
,
Computer mediated communication
,
Computer supported collaborative learning
,
Collaborative learning
URI
https://hdl.handle.net/11511/43091
Journal
COMPUTERS IN HUMAN BEHAVIOR
DOI
https://doi.org/10.1016/j.chb.2011.10.008
Collections
Department of Computer Engineering, Article
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This paper describes a study of the impact of communication behaviors on the performance of global software teams. Using a content analysis technique developed by [10], the researchers first characterized the asynchronous communications among student teams in Panama, Turkey and the US as they worked to complete a global software development project. Cluster analysis was then used to identify groups with similar communication patterns, which is defined as the proportion of time spent on each of the behaviors...
Exploring Collaboration Patterns among Global Software Development
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This article discusses a case study of an on-going project to investigate how the performance of global software teams may be affected by cultural factors. Participants in the study included computer science students from the University of North Texas (UNT) in Denton, Texas and students from the Middle East Technical University (METU) in Ankara, Turkey. Students were divided into culturally diverse work-teams and assigned collaborative software development projects. Cultural distinctions between work-teams ...
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This paper discusses results of a study analyzing how cultural factors affect the performance of distributed collaborative learning teams. Participants in the study included computer science students from the University of North Texas and students from the Middle East Technical University in Ankara, Turkey. The results indicate that a team's cultural attributes are a significant predictor of its performance on programming projects. Cultural attributes most strongly correlated to group performance were those...
A Comparison of Team Performance Measures for Global Software Development Student Teams
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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. U...
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K. SWİGGER, M. Hoyt, F. C. Serce, and F. N. Alpaslan, “The temporal communication behaviors of global software student teams,”
COMPUTERS IN HUMAN BEHAVIOR
, pp. 384–392, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43091.