DocumentCode :
1042559
Title :
Mining Task-Based Social Networks to Explore Collaboration in Software Teams
Author :
Wolf, Timo ; Schroter, Adrian ; Damian, Daniela ; Panjer, Lucas D. ; Nguyen, Thanh H D
Author_Institution :
Univ. of Victoria, Victoria, BC
Volume :
26
Issue :
1
fYear :
2009
Firstpage :
58
Lastpage :
66
Abstract :
Suppose you´re a software team manager who´s responsible for delivering a software product by a specific date, and your team uses a code integration system (referred to as a build in IBM Rational Jazz and in this article) to integrate its work before delivery. When the build fails, your team needs to spend extra time diagnosing the integration issue and reworking code. As the manager, you suspect that your team failed to communicate about a code dependency, which broke the build. Your team needs to quickly disseminate information about its interdependent work to achieve a successful integration build. How can you understand your team´s communication? Social-network analysis can give you insight into the team´s communication patterns that might have caused the build´s failure.
Keywords :
groupware; project management; social networking (online); software development management; team working; collaboration; repository-independent approach; software teams; task-based communication; task-based social networks; computer-supported collaborative work; data mining; organizational Impacts; software engineering;
fLanguage :
English
Journal_Title :
Software, IEEE
Publisher :
ieee
ISSN :
0740-7459
Type :
jour
DOI :
10.1109/MS.2009.16
Filename :
4721184
Link To Document :
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