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Conference Object Citation - WoS: 4Interaction Patterns Among Global Software Development Learning Teams(Ieee, 2009) Serce, Fatma Cemile; Serçe, Fatma Cemile; Swigger, Kathleen; Alpaslan, Ferda Nur; Brazile, Robert; Dafoulas, George; Lopez, Victor; Serçe, Fatma Cemile; Information Systems Engineering; Information Systems EngineeringThis 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. Results suggest that particular patterns of communication behaviors are associated with higher performance. More specifically, it appears that communications related to the "contributing" category seem to have the strongest relationship to high performance.Article Citation - WoS: 29Citation - Scopus: 30The Temporal Communication Behaviors of Global Software Student Teams(Pergamon-elsevier Science Ltd, 2012) Swigger, Kathleen; Hoyt, Matthew; Serce, Fatma Cemile; Lopez, Victor; Alpaslan, Ferda NurThis 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. (C) 2011 Elsevier Ltd. All rights reserved.Article Citation - WoS: 51Citation - Scopus: 64Online Collaboration: Collaborative Behavior Patterns and Factors Affecting Globally Distributed Team Performance(Pergamon-elsevier Science Ltd, 2011) Serce, Fatma Cemile; Swigger, Kathleen; Alpaslan, Ferda Nur; Brazile, Robert; Dafoulas, George; Lopez, VictorStudying the collaborative behavior of online learning teams and how this behavior is related to communication mode and task type is a complex process. Research about small group learning suggests that a higher percentage of social interactions occur in synchronous rather than asynchronous mode, and that students spend more time in task-oriented interaction in asynchronous discussions than in synchronous mode. This study analyzed the collaborative interaction patterns of global software development learning teams composed of students from Turkey, US, and Panama. Data collected from students' chat histories and forum discussions from three global software development projects were collected and compared. Both qualitative and quantitative analysis methods were used to determine the differences between a group's communication patterns in asynchronous versus synchronous communication mode. K-means clustering with the Ward method was used to investigate the patterns of behaviors in distributed teams. The results show that communication patterns are related to communication mode, the nature of the task, and the experience level of the leader. The paper also includes recommendations for building effective online collaborative teams and describes future research possibilities. (C) 2010 Elsevier Ltd. All rights reserved.Conference Object Citation - WoS: 4A 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, VictorOne 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.
