Frontiers of Information Technology (2011)
Dec. 19, 2011 to Dec. 21, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FIT.2011.62
Software changes are inevitable in large and long lived projects. Successful applications require proper handling and assignment of change requests (CRs). In large projects, a number of CRs are generated daily. These CRs should be resolved timely. We present an automated approach to assign CRs to appropriate developers. We use Alphabet Frequency Matrix (AFM) to classify CRs into developer classes. We apply machine learning techniques on the AFM data sets for classification. We find that AFM can be used to achieve an average accuracy from 27% to 53% with precision 25% to 55% and recall 28% to 56%.
triage, bug, software change, bugzilla
Saad Razzaq, Javed Ferzund, Sana Nasim, "Automated Change Request Triage Using Alpha Frequency Matrix", Frontiers of Information Technology, vol. 00, no. , pp. 298-302, 2011, doi:10.1109/FIT.2011.62