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Discovering the shared understanding dynamics of large software teams

Published: 22 October 2007 Publication History

Abstract

Reaching project goals demands from team members the creation and communication of detailed and vastly heterogeneous project information. Although no team member needs to know every piece of project information, each of them depends extensively on knowledge generated by other parties. Their aggregated information-seeking and information-sharing activities form a web of interactions that develops the team's shared understanding of their project.
Current approaches to study this phenomenon are unsatisfactory, as they tend to overlook its inherent complexity. To address this issue, we present a proposal to analyze shared understanding dynamics that draws from cognitive and organizational theories, as well as from Kruchten's 4+1 views of software architecture.

References

[1]
T. DeMarco and T. Lister. Peopleware: Productive Projects and Teams. Dorset House Publishing Co., 2nd edition, 1999.
[2]
P. Kruchten. "Architectural Blueprints---The "4+1" View Model of Software Architecture" IEEE Software 12(6), Nov. 1995.
[3]
M. Scaife and Y. Rogers. "External cognition: How do graphical representations work?" Intl. Journal of Human-Computer Studies, 45, 1996.
[4]
L. Suchman. Plans and Situated Actions: The problem of human-machine interaction. Cambridge University Press, 1987.
[5]
S. Wasserman and K. Faust. Social Network Analysis: Methods and Applications. Cambridge University Press, 1994
[6]
E. Yu. "Towards Modelling and Reasoning Support for Early-Phase Requirements Engineering" Procs. of the 3rd IEEE International Conference on Requirements Engineering (RE'97), 1997.

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  • (2013)V:ISSUE:LIZER: exploring requirements clarification in online communication over timeProceedings of the 2013 International Conference on Software Engineering10.5555/2486788.2486997(1327-1330)Online publication date: 18-May-2013

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Published In

cover image DL Hosted proceedings
CASCON '07: Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
October 2007
387 pages

Sponsors

  • IBM Toronto Software Lab
  • IBM Centers for Advanced Studies (CAS)

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IBM Corp.

United States

Publication History

Published: 22 October 2007

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Overall Acceptance Rate 24 of 90 submissions, 27%

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  • (2013)V:ISSUE:LIZER: exploring requirements clarification in online communication over timeProceedings of the 2013 International Conference on Software Engineering10.5555/2486788.2486997(1327-1330)Online publication date: 18-May-2013

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