International Journal of Scientific and Research Publications

IJSRP, Volume 4, Issue 5, May 2014 Edition [ISSN 2250-3153]


An Approach to Detecting Duplicate Bug Reports using N-gram Features and Cluster Chrinkage Technique
      Phuc Nhan Minh
Abstract: Duplicate bug report describes problems for which there is already a report in a bug repository. For many open source projects, the number of duplicate reports represents a significant percentage of the repository, so automatic identification of duplicate reports are very important and need let’s avoid wasting time a triager spends in searching for duplicate bug reports of any incoming report. In this paper we want to present a novel approach which it can help better of duplicate bug report identification. The proposed approach has two novel features: firstly, use n-gram features for the task of duplicate bug report detection. Secondly, apply cluster shrinkage technique to improve the detection performance. We tested our approach on three popular open source projects: Apache, Argo UML, and SVN. We have also conducted empirical studies. The experimental results show that the proposed scheme can effectively improve the detection performance compared with previous methods.

Reference this Research Paper (copy & paste below code):

Phuc Nhan Minh (2018); An Approach to Detecting Duplicate Bug Reports using N-gram Features and Cluster Chrinkage Technique; Int J Sci Res Publ 4(5) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0514.php?rp=P292616
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