Shared waypoints and social tagging to support collaboration in software development
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Communication: the neglected technical skill?
Proceedings of the 2007 ACM SIGMIS CPR conference on Computer personnel research: The global information technology workforce
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Continuous and automated evolution of architecture-to-implementation traceability links
Automated Software Engineering
Patterns and traceability in teaching software architecture
Proceedings of the 6th international symposium on Principles and practice of programming in Java
How tagging helps bridge the gap between social and technical aspects in software development
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Tool support for automating architectural knowledge extraction
SHARK '09 Proceedings of the 2009 ICSE Workshop on Sharing and Reusing Architectural Knowledge
Getting back to basics: Promoting the use of a traceability information model in practice
TEFSE '09 Proceedings of the 2009 ICSE Workshop on Traceability in Emerging Forms of Software Engineering
Cross-artifact traceability using lightweight links
TEFSE '09 Proceedings of the 2009 ICSE Workshop on Traceability in Emerging Forms of Software Engineering
The role of emergent knowledge structures in collaborative software development
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
SEREBRO: facilitating student project team collaboration
Proceedings of the 33rd International Conference on Software Engineering
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Tagging offers a traceability mechanism for software development by connecting artifacts in a meaningful way. Our integrated courseware, SEREBRO, provides a framework of tools that capture conversation and artifact creation and modification throughout the software development lifecycle by student team members developing non-trivial software products in a Software Engineering course. Using a data driven approach, we investigate the use of lightweight tagging mechanisms applied by student software project teams and present some preliminary results of this investigation.