Weight similarity measurement model based, object oriented approach for bug databases mining to detect similar and duplicate bugs

  • Authors:
  • Naresh Kumar Nagwani;Pradeep Singh

  • Affiliations:
  • National Institute of Technology, Raipur, India;National Institute of Technology, Raipur, India

  • Venue:
  • Proceedings of the International Conference on Advances in Computing, Communication and Control
  • Year:
  • 2009

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Abstract

In this paper data mining is applied on bug database to discover the similar and duplicate bugs. Whenever a new bug will be entered in the bug database through bug tracking system, it will be matched against the existing bugs and duplicate and similar bugs will be mined from the bug database. Similar kind of bugs are resolved in almost in same manners. So if a bug is found somewhere similar to other existing bug which is already resolved then its resolution will take less time, since some of the bug analysis part is similar to existing one, hence it will save time. In the existing tradition developers must have to manually identify duplicate bug reports, but this identification process is time-consuming and exacerbates the already high cost of software maintenance. So if the similar and duplicate bugs can be found out using some approach it will be a cost and time saving activity. Based on this concept a weight similarity measurement model based object orinted approach is described here in this paper to discover similar and duplicate bugs in the bug database.