The temporal communication behaviors of global software development student teams

Abstract: This paper examines the global software development process by using content analysis techniques, as described in an earlier study (), to determine time-variant patterns of communication behaviors among student teams engaged in a global software development project. Data gathered from two...

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Published in:Computers in Human Behavior Vol. 28; no. 2; pp. 384 - 393
Main Authors: Swigger, Kathleen, Hoyt, Matthew, Serçe, Fatma Cemile, Lopez, Victor, Alpaslan, Ferda Nur
Format: Article
Published: Elsevier B.V. Mar2012
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Mar2012
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      pub: Elsevier B.V.
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        70260505
        10.1016/j.chb.2011.10.008
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      tig:
        atl: The temporal communication behaviors of global software development student teams
      aug:
        au:
          Swigger, Kathleen
          Hoyt, Matthew
          Serçe, Fatma Cemile
          Lopez, Victor
          Alpaslan, Ferda Nur
        affil:
          Department of Computer Sciences and Engineering, University of North Texas, Denton, 311366 TX, USA
          Department of Information Systems Engineering, Atilim University, 06836 Ankara, Turkey
          Facultad de Ingeniería de Sistemas Computacionales, Universidad Tecnologica de Panama, 0819-07289 Panama, Panama
          Department of Computer Engineering, Middle East Technical University, 06531 Ankara, Turkey
      su:
        Content analysis
        Communications research
        Quantitative research
        Communication
        International business enterprises
        Students
        Teams in the workplace
        Computer software development
        Behavioral research
        Transcription (Linguistics)
        Data analysis
        Communication patterns
        Time
        Software architecture
      sug:
        subj:
          Content analysis
          Communications research
          Quantitative research
          Communication
          International business enterprises
          Students
          Teams in the workplace
          Computer systems design and related services (except video game design and development)
          Custom Computer Programming Services
          Research and Development in the Social Sciences and Humanities
          Computer software development
          Behavioral research
          Transcription (Linguistics)
          Data analysis
          Communication patterns
          Time
          Software architecture
      keyword:
        Collaborative behavior
        Collaborative learning
        Computer mediated communication
        Computer supported collaborative learning
        Distributed learning
        Temporal factors
        Collaborative behavior
        Collaborative learning
        Computer mediated communication
        Computer supported collaborative learning
        Distributed learning
        Temporal factors
      ab: Abstract: This paper examines the global software development process by using content analysis techniques, as described in an earlier study (), 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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