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e-Collaboration in Distributed Requirements Determination

e-Collaboration in Distributed Requirements Determination

Roberto Evaristo, Mary Beth Watson-Manheim, Jorge Audy
Copyright: © 2005 |Volume: 1 |Issue: 2 |Pages: 17
ISSN: 1548-3673|EISSN: 1548-3681|ISSN: 1548-3673|EISBN13: 9781615205837|EISSN: 1548-3681|DOI: 10.4018/jec.2005040103
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MLA

Evaristo, Roberto, et al. "e-Collaboration in Distributed Requirements Determination." IJEC vol.1, no.2 2005: pp.40-56. http://doi.org/10.4018/jec.2005040103

APA

Evaristo, R., Watson-Manheim, M. B., & Audy, J. (2005). e-Collaboration in Distributed Requirements Determination. International Journal of e-Collaboration (IJeC), 1(2), 40-56. http://doi.org/10.4018/jec.2005040103

Chicago

Evaristo, Roberto, Mary Beth Watson-Manheim, and Jorge Audy. "e-Collaboration in Distributed Requirements Determination," International Journal of e-Collaboration (IJeC) 1, no.2: 40-56. http://doi.org/10.4018/jec.2005040103

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Abstract

It is widely agreed that the trend toward distributed software development is growing. Although there are difficulties involved, this trend is here to stay, as organizations will continue to search for ways to develop software at lower cost but with same quality. Current research has focused primarily on the later stages of the software development life cycle, especially coding of software requirements. However, as organizations become more virtual, distributed development will become more apparent throughout the entire life cycle. In this study, we investigate distributed e-collaboration in requirements determination in software development. We report on results from a field experiment with two graduate level Information Systems classes, one located in Porto Alegre, Brazil and one in Chicago, Ilinois, USA. The students in Brazil played the role of users whereas the students in Chicago role-played analysts. The Chicago-based students developed a requirements document for an information system by interviewing the Brazil students using an electronic discussion board. Our findings provide insight into the distributed analysis process and identify sources of potential problems.

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