WikiDev 2.0: discovering clusters of related team artifacts

  • Authors:

  • Ken Bauer;Marios Fokaefs;Brendan Tansey;Eleni Stroulia

  • Affiliations:

  • University of Alberta;University of Alberta;University of Alberta;University of Alberta

  • Venue:
  • CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
  • Year:
  • 2009

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Abstract

Most software development today is a team activity. Project team members collaboratively work on the tasks necessary to accomplish the various project milestones. The work is usually asynchronous, not orchestrated by any explicit workflow, sometimes geographically distributed, and involves the use of a variety of tools, which do not always interoperate. Version-control repositories are essential in supporting this collaboration but cannot satisfactorily address the problem of traceability of interdependencies among the artifacts produced by the individual tools. In the WikiDev 2.0 collaboration tool, we propose to address these problems by adopting a wiki as the central platform in which to integrate information about the various artifacts of interest, to cluster this information in clusters of relevant artifacts, and to present views on this information that cut across the individual tool boundaries. In this paper, we discuss the central clustering algorithm in WikiDev 2.0 and we evaluate its effectiveness with a case study.