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Distributed versus face-to-face meetings for architecture evalution: a controlled experiment
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Source International Symposium on Empirical Software Engineering archive
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering table of contents
Rio de Janeiro, Brazil
SESSION: Software development and developers table of contents
Pages: 252 - 261  
Year of Publication: 2006
ISBN:1-59593-218-6
Authors
Muhammad Ali Babar  National ICT Australia Ltd, Alexandria, Australia and University of New South Wales, Sydney, Australia
Barbara Kitchenham  National ICT Australia Ltd, Alexandria, Australia
Ross Jeffery  National ICT Australia Ltd, Alexandria, Australia and University of New South Wales, Sydney, Australia
Sponsors
ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

Scenario-based methods for evaluating software architecture require a large number of stakeholders to be collocated for evaluation sessions. Collocating stakeholders is often an expensive exercise. To reduce expense, we have proposed a framework for supporting software architecture evaluation process using groupware systems. This paper presents a controlled experiment that we conducted to assess the effectiveness of scenario profile construction using distributed meetings. We used a cross-over experiment involving 32 teams of three 3rd and 4th year undergraduate students. We found that the quality of scenarios produced by distributed teams using a groupware tool were significantly better than the quality of scenarios produced by face-to-face teams (p<0.001). However, questionnaires indicated that most participants preferred the face-toface arrangement (82%) and 60% thought the distributed meetings were less efficient. We conclude that distributed meetings are extremely effective but that tool support must be of a high standard or participants will not find distributed meetings acceptable.


REFERENCES

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1
ZWiki System, Last accessed on 8th June 2004.
2
 
3
 
4
 
5
 
6
 
7
Bengtsson, P. Architecture-Level Modifiability Analysis Department of Software Engineering and Computer Science, Blekinge Institute of Technology, Sweden, 2002.
 
8
 
9
 
10
 
11
 
12
 
13
 
14
 
15
Fjermestad, J. and Hiltz, S.R. Group Support Systems: A Descriptive Evaluation of Case and Field Studies. Journal of Management Information Systems, 17 (3), 2000-2001, pp. 115--159.
 
16
 
17
 
18
 
19
 
20
 
21
 
22
23
 
24
 
25
Kiesler, S., Siegel, J. and McGuire, T.W. Social Psychological Aspects of Computer-Mediated Communication. American Psychologist, 9 (10), 1984, pp. 1123--1134.
 
26
 
27
 
28
 
29
 
30
 
31
Mennecke, B.E., Hoffer, J.A. and Wynne, B.E. The Implications of Group Development and History for Group Support System Theory and Practice. Small Group Research, 23 (4), pp. 524--572.
 
32
Nunamaker, J., Vogel, D., Heminger, A. and Martz, B. Experiences at IBM with Group Support Systems: A Field Study. Decision Support Systems, 5, 1989, pp. 183--196.
 
33
34
 
35
Paasivaara, M., Casper and Lassenius Collaboration Practices in Global Inter-organizational Software Development Projects. Software Process Improvement and Practice, 8 (4), 2003, pp. 183--199.
 
36
 
37
Poole, M.S. and Desanctis, G. Understanding the Use of Group Decision Support Systems: The Theory of Adaptive Structuration. in Fulk, J. and Steinfield, C. eds. Organizations and Communication Techology, Sage Publications, Inc., Newbury, CA, USA, 1990, pp. 173--193.
 
38
Rosnow, R.L. and Rosenthal, R. People Studying People: Artifacts and Ethics in Behavioral Research. W.H. Freeman and Company, 1997.
 
39
Sakthivel, S. Virtual workgroups in offshore systems development. Information and Software Technology, 47 (5), 2005, pp. 305--318.
 
40
Senn, S. Cross-Over Trials in Clinical Research. John Wiley & Sons Ltd., 2002.
 
41
Toothaker, L.E. and Miller, L. Introductory Statistics for the Behavioral Science. Brooks/Cole Publishing Company, Pacific Grove, CA, USA, 1996.
 
42
 
43
Valacich, J., Dennis, A.R. and Nunamaker, J.F. Group Size and Anonymity Effects on Computer-Mediated Idea Generation. Small Group Research, 23 (1), 1992, pp. 49--73.
 
44
 
45
Warkentin, M.E., Sayeed, L. and Hightower, R. Virtual Teams Versus Face-to-Face Teams: An Exploratory Study of a Web-based Conference System. Decision Sciences, 28 (4), 1997, pp. 975--996.
 
46

Collaborative Colleagues:
Muhammad Ali Babar: colleagues
Barbara Kitchenham: colleagues
Ross Jeffery: colleagues