Browsing by Author "Serce,F.C."

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    Citation Count: 11
    Global Teams: Futuristic Models of Collaborative Work for Today's Software Development Industry
    (2009) Dafoulas,G.A.; Serçe, Fatma Cemile; Swigger,K.; Brazile,R.; Alpaslan,F.N.; Cabrera,V.L.; Serce,F.C.; Information Systems Engineering
    This paper emphasises the importance of global teams in the field of software development. The paper presents an approach for setting up pilot studies simulating those key features that make global software development teams particularly attractive to exploit and challenging to manage. The underlying research is supported by a research project funded by the US National Science Foundation with the participation of universities from US, Turkey, Panama and the UK. The paper provides detailed guidelines for setting up simulations resembling globally dispersed software development teams and discusses preliminary data of two pilot studies with involving collaboration between teams residing in the US and the UK. Key concerns of this research are those factors affecting collaborative work when global teams are involved. Such factors include differences caused by distance, culture, time zones and technology. © 2009 IEEE.
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    Quantitative and Qualitative Analysis of Globally Distributed Team Collaboration in Design and Development of Software
    (2013) Milewski,A.E.; Serçe, Fatma Cemile; Serce,F.C.; Swigger,K.; Information Systems Engineering
    The goal of this study is to understand the dynamics of collaboration within globallydistributed teams working in a realistic HumanSystem Interaction design and software engineering context. Quantitative data on communications were collected by capturing virtually all of the communications between the team members. Qualitative data were collected through the interviews conducted by the instructors. The projects successfully ended in the software implementation of the front end of an Android app based on the HumanSystem Interaction design. The results reveal some of the challenges associated with working in interdisciplinary and global settings and suggest areas of caution for future such HSI educational experiences. © 2013 IEEE.
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    Supporting Collaboration in Global Software Development Through E-Learning
    (2009) Dafoulas,G.A.; Serçe, Fatma Cemile; Swigger,K.; Brazile,R.; Alpaslan,F.N.; Serce,F.C.; Cabrera,V.L.; Information Systems Engineering
    The paper provides an overview of a research study conducted over a period of one year as part of a three year project on supporting global software development learning teams. Emphasis is given on the role of e-learning in supporting the coordination, communication and collaboration in geographically dispersed learning teams. The paper describes how e-learning was used to facilitate teams from five different universities residing in US, UK, Turkey and Panama to work towards a number of global software development pilot studies. The paper focuses on instructional design issues by discussing the e-learning setting provided. Furthermore, the paper discusses key considerations relating to the project's strategy towards collaborative learning and the design of e-learning tasks. © 2009 IADIS.
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    When Do Distributed Student Teams Work?
    (2012) Swigger,K.; Serçe, Fatma Cemile; Dafoulas,G.; Serce,F.C.; Alpaslan,F.N.; Lopez,V.; Information Systems Engineering
    The authors analyzed 2500 communication activities of student teams engaged in global software development projects during an 18 month period to determine the temporal behavior of students engaged in distributed group activities. The data revealed a number of daily, weekly, and project regularities, which provide insights into how distributed teams use their time. The results from this study show that students often work outside of the normal workday. Students' work habits are sometimes determined by where they live and what tasks they are performing. Moreover, students tend to work on group projects in cycles, which follow a start-middle-end pattern. Knowledge obtained from this study should provide insight into current empirical research on computer-supported collaborative learning by defining the different time variables that can be used to compare temporal patterns of online teams. © 2012 IEEE.